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Faculty of Engineering & Technology
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Hossam Eldin Abdallah Talaat

Basic information

Name : Hossam Eldin Abdallah Talaat
Title: Professor
Google Schoolar Link
Personal Info: Hossam Eldin Abdallah Talaat Former Head of the Departmnet Of Electrical Power Engineering & Machines Ain Shams University

Education

Certificate Major University Year
PhD Electrical Power Engineering University Of Grenoble, France - faculty of Engineering 1986
Masters Electrical Power Engineering & Machines Faculty of Engineering - Ain Shams University 1980
Bachelor Department of Electrical Engineering Faculty of Engineering - Ain Shams University 1975

Teaching Experience

Name of Organization Position From Date To Date
Faculty of Engineering& Technology Director of Quality Assurance Unit 01/01/2016 01/01/2017
Electrical Engineering Dept., FUE Professor 01/01/2015 01/01/2017
Ain Shams University Head of Electrical Power Eng. Dept. 01/01/2013 01/01/2014
Ain Shams University Professor 01/01/2000 01/01/2017

Researches /Publications

A probabilistic multi-objective approach for FACTS devices allocation with different levels of wind penetration under uncertainties and load correlation - 01/0

Hossam Eldin Abdallah Talaat

M. EL-Azab, S. F. Mekhamer

01/08/2020

This study presents a probabilistic multi-objective optimization approach to obtain the optimal locations and sizes of static var compensator (SVC) and thyristor-controlled series capacitor (TCSC) in a power transmission network with large level of wind generation. In this study, the uncertainties of the wind power generation and correlated load demand are considered. The uncertainties are modeled in this work using the points estimation method (PEM). The optimization problem is solved using the Multi-objective particle swarm optimization (MOPSO) algorithm to find the best position and rating of the flexible AC transmission system (FACTS) devices. The objective of the problem is to maximize the system loadability while minimizing the power losses and FACTS devices installation cost. Additionally, a technique based on fuzzy decision-making approach is employed to extract one of the Pareto optimal solutions as the best compromise one. The proposed approach is applied on the modified IEEE 30-bus system. The numerical results evince the effectiveness of the proposed approach and shows the economic benefits that can be achieved when considering the FACTS controller.

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Wind Power Ramps Analysis for High Shares of Variable Renewable Generation in Power Systems - 01/0

Hossam Eldin Abdallah Talaat

Mohammed Saber, Abdel Moteleb, M Said, M Saber Eltohamy, S Fouad Mekhemar

01/06/2020

The increased penetrations from variable renewable generation (VRG), such as solar and wind, into power systems, growing the flexibility requirements for managing the uncertainty and variability of output power. These flexibility requirements can be achieved by many flexibility options. However, quantifying the flexibility available and required in a power system is a complicated problem. The paper reviews different flexibility metrics that measure the flexibility available from each conventional generator and that measure the flexibility available and needed by a power system at either planning and operational stages. Due to the dynamics of power systems, no flexibility metric has been taken as a standard. Accordingly, for high variable renewable generation shares, it is necessary to have a deeper understanding of power ramping scale as well as times when collective ramp events are most likely to occur. The paper introduces a method for power ramping analysis that will be demonstrated by analysing the output power of aggregated Belgian wind farms. In addition, the ramp characteristic indicators have been proposed for comparing the ramping behaviour of VRG in different years or between different countries.

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Population based optimization algorithms improvement using the predictive particles - 01/0

Hossam Eldin Abdallah Talaat

Elroby, M.M.H., Moustafa. Hassan, M.A.,

01/06/2020

A new efficient improvement, called Predictive Particle Modification (PPM), is proposed in this paper. This modification makes the particle look to the near area before moving toward the best solution of the group.This modification can be applied to any population algorithm. The basic philosophy of PPM is explained in detail. To evaluate the performance of PPM, it is applied to Particle Swarm Optimization (PSO) algorithm and Teaching Learning Based Optimization (TLBO) algorithm then tested using 23 standard benchmark functions. The effectiveness of these modifications are compared with the other unmodified population optimization algorithms based on the best solution, average solution, and convergence rate

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Population based optimization algorithms improvement using the predictive particles - 01/0

Hossam Eldin Abdallah Talaat

M. M. H. Elroby, M. A. Moustafa Hassan

01/06/2020

A new efficient improvement, called Predictive Particle Modification (PPM), is proposed in this paper. This modification makes the particle look to the near area before moving toward the best solution of the group. This modification can be applied to any population algorithm. The basic philosophy of PPM is explained in detail. To evaluate the performance of PPM, it is applied to Particle Swarm Optimization (PSO) algorithm and Teaching Learning Based Optimization (TLBO) algorithm then tested using 23 standard benchmark functions. The effectiveness of these modifications are compared with the other unmodified population optimization algorithms based on the best solution, average solution, and convergence rate.

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Generalized optimal placement of PMUs considering power system observability, communication infrastructure, and quality of service requirements - 01/0

Hossam Eldin Abdallah Talaat

M. M. H. Elroby; M. A. Moustafa Hassan

01/06/2020

This paper presents a generalized optimal placement of Phasor Measurement Units (PMUs) considering power system observability, reliability, Communication Infrastructure (CI), and latency time associated with this CI. Moreover, the economic study for additional new data transmission paths is considered as well as the availability of predefined locations of some PMUs and the preexisting communication devices (CDs) in some buses. Two cases for the location of the Control Center Base Station (CCBS) are considered; predefined case and free selected case. The PMUs placement and their required communication network topology and channel capacity are co-optimized simultaneously. In this study, two different approaches are applied to optimize the objective function; the first approach is combined from Binary Particle Swarm Optimization-Gravitational Search Algorithm (BPSOGSA) and the Minimum Spanning Tree (MST) algorithm, while the second approach is based only on BPSOGSA. The feasibility of the proposed approaches are examined by applying it to IEEE 14-bus and IEEE 118-bus systems.

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Steady-state Security Assessment Based on K-Means Clustering Algorithm and Phasor Measurement Units - 01/0

Hossam Eldin Abdallah Talaat

Bassam A. Hemade, Hamed A. Ibrahim

01/01/2020

Background: The security assessment plays a crucial role in the operation of the modern interconnected power system network. Methods: Hence, this paper addresses the application of k-means clustering algorithm equipped with Principal Component Analysis (PCA) and silhouette analysis for the classification of system security states. The proposed technique works on three principal axes; the first stage involves contingency quantification based on developed insecurity indices, the second stage includes dataset preparation to enhance the overall performance of the proposed method using PCA and silhouette analysis, and finally the application of the clustering algorithm over data. Results: The proposed composite insecurity index uses available synchronized measurements from Phasor Measurement Units (PMUs) to assess the development of cascading outages. Considering different operational scenarios and multiple levels of contingencies (up to N-3), Fast Decoupled Power Flow (FDPF) have been used for contingency replications. The developed technique applied to IEEE 14-bus and 57-bus standard test system for steady-state security evaluation. Conclusion: The obtained results ensure the robustness and effectiveness of the established procedure in the assessment of the system security irrespective of the network size or operating conditions. Keywords: Blackout, contingency screening and ranking, k-means algorithm, unsupervised clustering techniques, phasor measurement units, principal components analysis, silhouette analysis, static security assessment, synchronized measurements.

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Active Voltage Control in Distribution Networks including Distributed Generations using Hardware-In-The-Loop Technique - 01/1

Hossam Eldin Abdallah Talaat

Beshoy Nabil Fahmy ; Mohammad H. Soliman

01/12/2019

In weak distribution networks, the amount of distributed generation (DG) is often limited by the voltages limits of the network due to the voltage rise effect. As the penetration level of DG increases, active voltage control methods need to be implemented, which can lower the connection costs in many cases and increase the capacity of connectable DG substantially if used instead of the passive approach. In this paper, operation of a modified active voltage control algorithm is applied on a distribution network in a coordinated manner using hardware-in-the-loop technique. Real time simulations are done to test the data transfer and the reliability of execution of the control algorithm.

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Analyzing Wind Power Ramps for High Penetration of Variable Renewable Generation - 01/1

Hossam Eldin Abdallah Talaat

M Saber Eltohamy, M Said Abdel Moteleb, S Fouad Mekhemer

01/12/2019

One of the greatest issues connected with incorporating high penetration levels of variable renewable generation into the power system is the capability to handle the unlimited ramps in the renewable power production. It is essential for power system operators to have statistical information on the power ramping features of renewables generation. This information can be utilized in power system operations to mitigate ramping events for the sake of power system flexibility, reliability and economic considerations. Grid operators had successfully balanced the variability of collective power output at low penetration of variable renewable generation, but as the installations of renewable energy continue to grow, the ability to manage these fluctuations has become a difficult task. At high renewable penetration, more power ramps with short durations occurred as the number of ramping events increased with increasing penetration level [1]. In this paper the output power of wind generation will be analyzed to get information about the wind power ramping behavior by analyzing the historical data of power-time curve in two directions, vertical and horizontal. While the forecast of wind power has been improved, the forecast errors are still relatively high. As a result, with the increase in the participation rate of variable generation, these errors will significantly affect the balance of generating capacity and consumption. Consequently, from the perspective of grid operators, it will be necessary to gain a deeper understanding of the aggregate ramping scale and the periods that collective ramp events are most likely to occur. The analyzing method will be demonstrated by analyzing the output power of aggregated Belgium's wind farms, 3.16 GW, in the year of 2018.

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Optimal Power Flow of Power Systems Using Hybrid Firefly and Particle Swarm Optimization Technique - 01/1

Hossam Eldin Abdallah Talaat

H. M. Hasanien

01/12/2019

This paper presents a new endeavor of using the Hybrid Firefly and Particle Swarm Optimization (HFPSO) technique in tackling the optimal power flow (OPF) problem for electric power networks. The fuel cost optimization represents the main target considering the system constraints. The decision variable of the OPF problem is chosen to be the generators output real power. The HFPSO technique is chosen to optimize the objective function and to determine the optimal solutions of the problem. Many IEEE test systems are included in this study to assure the soundness of the introduced technique such as the IEEE 14-bus, 30-bus, and 57-bus grids. To acquire a sensible outcome, actual load curves are taken into account during the examination. Simulation results are examined then investigated. They show the appropriateness and privilege of the presented HFPSO -based OPF problem over the genetic algorithm (GA) and the particle swarm optimization (PSO).

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Overview of Power System Flexibility Options with Increasing Variable Renewable Generations - 01/1

Hossam Eldin Abdallah Talaat

aber Eltohamy, M Said Abdel Moteleb

01/11/2019

Many energy systems around the world tend to generate electricity from renewable energy sources as an alternative to the use of high-carbon fossil fuels. Increasing the rate of inclusion of renewable power plants in power systems at the expense of conventional power plants will result in new challenges in dealing with the unexpected generation capacity of these plants. This research discusses the various flexibility options for power systems in dealing with this variable and uncertain generating capacity at different time intervals to achieve the desired balance between generating capacity and load needs.

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Technical Investigation for Power System Flexibility - 01/1

Hossam Eldin Abdallah Talaat

M Saber Eltohamy, M Said Abdel Moteleb, S Fouad Mekhemer

01/11/2019

Power systems face growing flexibility requirements for managing the increased penetrations from variable renewable generation (VRG) like solar and wind power generation. In general, instant balance of temporal inequalities between supply and demand can be reached by many flexibility options. However, an accurate quantification of the flexibility needed and available in a power system is a complex task. Accordingly, this paper introduces a review of various power system flexibility metrics that used to quantify the flexibility. The use of these metrics varied, some of which were used to measure the flexibility available from each conventional generator and others were used to measure the flexibility available and needed by the power system at both the planning and operational stages, but up till now there is no flexibility metric that can be taken as a standard.

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Optimal placement of phasor measurement units considering islanding contingency, communication infrastructure, and quality of service - 01/0

Hossam Eldin Abdallah Talaat

Elroby, M.M.H., Hassan, M.A.M.

01/09/2019

In this study, the PMUs are placed to operate in normal and islanded cases taking into account power systemobservability, reliability, Communication Infrastructure (CI), and latency time associated with this CI. Moreover,the economic study for additional new data transmission paths is considered as well as the preexistingCommunication Devices (CDs) and the availability of predefined locations of some PMUs in some buses. ThePMUs placement and their communication network topology and link channel capacity are co-optimized simul-taneously. Two different approaches are applied to optimize the objective function; the first approach is combinedfrom Binary Teaching Learning Based Optimization Algorithm (BTLBOA) and the Minimum Spanning Tree (MST)algorithm, while the second approach is based on BTLBOA. The proposed approaches are examined using IEEE118-bus systems

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Optimal Power Flow of Power Systems Including Distributed Generation Units Using Sunflower Optimization Algorithm - 01/0

Hossam Eldin Abdallah Talaat

H. M. Hasanien

01/08/2019

This article introduces a new attempt of utilizing the sunflower optimization (SFO) algorithm in solving the problem of optimal power flow (OPF) in the field of power systems. The principle target is to optimize the generating units' fuel cost under the system constraints. At initial stage, the objective function is solved to find the optimal siting of Distributed Generation (DG) units within the system under study. Then, different scenarios are performed to solve the OPF problem including and excluding DG units. The generators' real output power defines the exploration field for the OPF problem. The SFO algorithm is used to minimize the fitness function and yields the best solutions of the problem. More than one electric grid is tested to check the validity of the proposed algorithm such as the IEEE 14-bus, and 30-bus networks. Simulations included different scenarios are implemented in these two networks. To obtain a realistic result, real daily load curve is considered in this study. The results of simulations are investigated and analyzed. Results confirm the flexibility, validation, and applicability of the introduced SFO-based OPF methodology when compared with the genetic algorithm.

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Performance assessment of bacterial foraging based power system stabilizer in multi-machine power system - 01/0

Hossam Eldin Abdallah Talaat

Nader M.A. Ibrahim, Basem E. Elnaghi, Hamed A. Ibrahim

01/07/2019

This paper describes the process of power system stabilizer (PSS) optimization by using bacterial foraging (BG) to improve the power system stability and damping out the oscillation during large and small disturbances in a multi-machine power system. The proposed PSS type is P. Kundur (Lead-Lag) with speed deviation as the input signal. BG used to optimize the PSS gains. The proposed BG based delta w lead-lag PSS (P. Kundur structure) (BG-PSS) evaluated in the wellknown benchmark simulation problem P. Kundur 4machines 11-buses 2-areas power system. The BG-PSS compared with MB-PSS with simplified settings: IEEE® type PSS4B according to IEEE Std. 421.5, Conventional Delta w PSS (as the proposed PSS without optimization) from P. Kundur, and Conventional Acceleration Power (Delta Pa) PSS to demonstrate its robustness and superiority versus the three PSSs types to damp out the inter-area oscillations in a multi-machine power system. The damping ratio and the real part of the eigenvalues used as the fitness function in the optimization process. The nonlinear simulation results obtained in the MATLAB / SIMULINK environment prove that the proposed PSS is highly effective, robust, & superior to the other used controllers in restrictive the inter-area oscillation in a large power system & to maintain the wide-area stability of the system. Also, the performance indices eigenvalue analysis, peak overshoot, settling time, and steady-state error used to validate the superior oscillation damping and fast recovered transient dynamic behavior over the three considered controllers.

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Incorporating Switched Modulated Power Filter Compensator to Enhance Microgrid Stability Under Fault Provoked Islanding Conditions - 01/0

Hossam Eldin Abdallah Talaat

Ahmed aly Salem, Ali H. Kasem Alaboudy, Abdelazeem A. Abdelsalam

01/07/2019

Microgrid (MG) gains higher potential and plays a key role in grid infrastructure upgrade. Although MG have many benefits, its performance during fault caused islanding conditions still needs more attentive investigations. In this context, the MG load types and the behavior of the distributed generations (DGs) control system have the significant impact on the stability of MG. This article analyzes the influence of various control techniques of the inverter DG unit on the dynamic performance MG after fault-provoked islanding conditions. To enhance the MG stability and the quality of voltage waveform, an adapted MG configuration equipped with a low-cost switched modulated power filter compensator (MPFC) is proposed. Using MPFC alongside the inverter DG unit gives adequate solution to overcome the shortcomings of the inverter and the flexibility of the interfacing control scheme. The MG structure equipped with MPFC is simulated using Matlab/Simulink software package. A wide perspective on the simulation results indicates that the MG stability is highly vulnerable to the inverter DG control techniques. Further, the MG may lose its stable operation due to some load type characteristics. The proposed MG structure with the MPFC can withstand longer fault durations and give better stability performance especially with induction motor (IM) loads. Moreover, the MG equipped with the MPFC has the ability to keep the voltage total harmonic distortion (THD) within the acceptable limits.

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Conceptual Analysis of Different Clustering Techniques for Static Security Investigation - 01/0

Hossam Eldin Abdallah Talaat

Hamed A. Ibrahim, Bassam Hemade Ali

01/02/2019

Power system contingency studies play a pivotal role in maintaining the security and integrity of modern power system operation. However, the number of possible contingencies is enormous and mostly vague. Therefore, in this paper, two well-known clustering techniques namely K-Means (KM) and Fuzzy C-Means (FCM) are used for contingency screening and ranking. The performance of both algorithms is comparatively investigated using IEEE 118-bus test system. Considering various loading conditions and multiple outages, the IEEE 118-bus contingencies have been generated using fast-decoupled power flow (FDPF). Silhouette analysis and fuzzy partition coefficient techniques have been profitably exploited to offer an insight view of the number of centroids. Moreover, the principal component analysis (PCA) has been used to extract the dominant features and ensure the consistency of passed data with artificial intelligence algorithms’ requirements. Although analysis of comparison results showed excellent compatibility between the two clustering algorithms, the FCM model was found more suitable for power system static security investigation.

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Modified Particle Swarm Optimization Based on Lead-Lag Power System Stabilizer for Improve Stability in Multi-Machine Power System - 01/0

Hossam Eldin Abdallah Talaat

Nader Mohamed, Basem El Elnaghi, Hamed A. Ibrahem

01/03/2018

Inter-area oscillations not only limit the transferred bulk power but can extend to isolate the areas and may cause the blackout in some parts of the system or all the system. This paper depicts the improvement process of power system stability by using the modified particle swarm optimization (PSO) technique to optimize the lead-lag power system stabilizer (PSS) parameters offline to improve its performance. PSO modified by adjusting the damping boundary condition to prevent the particles from an outing of the searching space which improves the optimization process. Optimized PSS structure is a conventional lead-lag PSS (IEEE typePSS1A) with speed deviation input signal. Proposed PSS performance compared with bacterial foraging based lead-lag PSS, and a simplified multi-band PSS: IEEE® type PSS4B. A comparison process applied to the system divided into two areas 11-bus 4-generators. Furthermore, performance indices as Eigenvalue, damping ratio, participation factor, maximum overshoots, settling time, and steady-state error used to utilize the analysis. The simulation results clarify the strength of the proposed PSS over the other compared PSSs. Simulation results in mathematical analysis prove that the proposed PSS improves the overall system stability better than the BG based lead-lag PSS by (23.02835%) and the MB-PSS by (94.14835%).

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The Impact of Inverter Overloading Capability on the FRT Performance of Inverter-Based DG Units - 01/1

Hossam Eldin Abdallah Talaat

Ahmed A. Salem, Ali H. Kasem Alaboudy, Abdelazeem A. Abdelsalam

01/12/2017

Microgrid (MG) is experiencing a rapid growth and better integration of renewable distributed generation (DG) units with utility grid and plays a key role in grid infrastructure upgrade. It is required from these DG units to stay connected during and after any voltage disturbance to support the voltage, further ensuring the power system stability. In this context, an adapted inverter control scheme for fault ride through (FRT) is proposed to enhance the MG stability after fault provoked islanding. Hence, a maximum available support of inverter DG unit regarding the reactive power enhancement is achieved. In addition, the influence of using the droop control strategy on the MG stability is analyzed with and without the proposed FRT scheme. Superior feature for the FRT based on the overloading capability of the inverter DG unit is proposed to enhance MG performance. The MG under study includes a synchronous diesel DG unit, an inverter DG unite, and a combined load (static, and dynamic induction motor (IM) load). The structure of MG and the proposed inverter control strategy and scheme are employing using Matlab/Simulink package. A wide perspective on the simulation results verify the feasibility of the proposed FRT to enhance MG stability at the fault incidents.

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Generated Power-Based Composite Security Index for Evaluation of Cascading Outages - 01/1

Hossam Eldin Abdallah Talaat

Hamed A. Ibrahim ; Bassam A. Hemade

01/12/2017

This paper addresses the presenting and implementation of a composite performance index (PI) for contingency analysis to identify critical components (lines and/or generation units), initiating event, shortest path for cascading, and cascading chains. The proposed PI has obtained in terms of thermal transfer capacity of transmission lines, bus voltage profile, generation units active and reactive power. The proposed index offers a simple method to identify and rank critical contingencies in an efficient way. It assesses the development of cascading outages by categorizing and visualizing of cascading events. The proposed PI is immune to masking effect irrespective of the network topology and loading condition. As a diagnostic tool, the proposed index capable of identifying the location of limits violation (bus voltage, line flow, generator active and reactive power) inside the network, for feasible corrective control actions, and it can be added to existing contingency analysis tools in order to evaluate the impact of contingency event, whether on-line or offline. Extensive simulations have been carried out using 6-bus, and IEEE 14-bus systems and all results ensure the robustness and effectiveness of the proposed PI in contingency analysis.

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A Power System Adaptive Scheme Depending on a Data Mining Model - 01/1

Hossam Eldin Abdallah Talaat

W. M. Gamal

01/12/2017

The conditions of any power system always keep on changing over time due to the continuous load variation nature of the system. The conventional relays that had been always used for power system protection face difficulties to comply and offer the required protection because of their fixed settings parameters. Many adaptive solutions have been introduced. They depend on evaluating the system conditions in order to help taking the proper actions, regarding changing the relay settings or protection schemes to suit the new system conditions. Among these solutions, data mining-based solutions are distinctive. The most frequently used data mining algorithm for the evaluation process is the decision trees. This paper introduces a new evaluating data mining model using support vector machines (SVM), as another superior tool. The SVM model proves to have higher correct rate in evaluating and predicting the system conditions than the decision trees model.

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Optimal Reconfiguration and DG Allocation in Active Distribution Networks Using a Probabilistic Approach - 01/0

Hossam Eldin Abdallah Talaat

Mina G. Naguib

01/09/2017

This paper proposes a method for the reduction of annual energy loss in distribution networks using simultaneous reconfiguration and allocation of Distributed Generators (DGs). The method considers the DGs intermittency throughout the studied period by using a probabilistic model for renewable based DGs. Hence, the model is used in solving a discrete nonlinear optimization problem to find the optimal sizes and locations of DGs and the optimal configuration of the network. The problem is solved using the discrete Firefly optimization technique and is tested on the IEEE 33-bus system. The test cases are used to investigate the effectiveness of simultaneous reconfiguration and DG allocation as compared to reconfiguration alone, DG allocation alone, and DG allocation after reconfiguration. In addition, the test cases investigate the best scenario for simultaneous reconfiguration and DG allocation based on the season.

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An Adaptive Hybrid Approach for Protection of Transmission Line Compensated with UPFC - 01/0

Hossam Eldin Abdallah Talaat

Amr M. Ibrahim, Noha M. Bastawy

01/02/2017

The presence of flexible ac transmission system (FACTS) controllers in transmission lines causes mal-operation of distance relays. The series-shunt FACTS devices have larger influence on the performance of the relays compare to the other FACTS controllers. Furthermore, high-resistance fault is another factor that relay become under-reach and cannot correctly identify the fault. In this paper, a method is provided based on synchrophasors to eliminate the effects of unified power-flow controller (UPFC) and fault resistance on the distance relay. In the presented method, the data of voltage and current signals of buses will be sent to system protection center (SPC). In SPC, an algorithm is provided based on active power calculation in buses which is able to eliminate the effects of both mentioned factors. The main advantage of the proposed method, in addition to the simplicity of the algorithm, is the ability to operate in all types of faults and in high-resistance faults. Furthermore, a technique is presented in this paper to calculate UPFC data. A comparison has been performed between this technique and another method where UPFC data is directly transmitted to SPC by communication channel. In modeling of UPFC, detail model is used based on 48-pulses voltage source converters.

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Synchrophasor measurements-based on-line power system steady-state security indices—part I: Methodology - 01/1

Hossam Eldin Abdallah Talaat

Hamed A. Ibrahim ; Bassam A. Hemade

01/12/2016

in this paper, a set of performance indices are developed to identify the credible disturbances (contingencies). This set of indices is based on bus voltage profile and thermal transfer capacity of transmission lines. The proposed indices have utilized the benefits of Synchrophasor measurements in all cases that have been presented. The proposed indices ranked lines and generators outage according to the number of affected equipment and expected severity of contingency. The proposed indices are examined on a 6-bus sample system and IEEE 14-bus system. MATLAB environment is used for system simulation. The given results ensure the robustness and correctness of the developed indices under various contingencies, operating conditions, and different network size.

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Dynamic Performance of Microgrid after Fault Provoked-Islanding Considering Induction Motor Loads - 01/1

Hossam Eldin Abdallah Talaat

Ahmed A. Salem ; Abdelazeem A. Abdelsalam ; Ali H. Kasem Alaboudy

01/12/2016

Microgrids (MGs) are one of the most feasible structures that accommodate the increased penetration of the intermittent renewable distributed energy sources. Enabling MGs with renewable energy sources is crucial to meet the environmental concerns, and get economic benefits and reliability requirements. This paper details the effect of control strategies of an inverter-based distributed generation (DG) on the dynamic performance of MG after fault-caused islanding conditions with the presence of Induction Motor (IM) loads. The dynamic performance of MG is analyzed with different IM load conditions. Further, the effect of DGs penetration levels on the performance of MG is investigated. Voltage and frequency deviations are taken as a key indicator for MG stability. A MG model along with the control strategies is simulated on Matlab/Simulink environment. The model includes a composite generation consists of inverter-based DG and synchronous generator coupled with a critical load which contains static RLC load and IM loads. The simulation results declared that the control techniques of the inverter-based DG are highly affecting the MG stability. Moreover, the MG may lose its stable operation owing to IM loads and DGs penetration levels.

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Adaptive protection coordination scheme for distribution networkwith distributed generation using ABC - 01/0

Hossam Eldin Abdallah Talaat

A.M. Ibrahima, W. El-Khattama, M. ElMesallamyb

01/09/2016

This paper presents an adaptive protection coordination scheme for optimal coordination of DOCRs in interconnected power networks with the impact of DG, the used coordination technique is the Artificial Bee Colony (ABC). The scheme adapts to system changes; new relays settings are obtained as generation-level or system-topology changes. The developed adaptive scheme is applied on the IEEE 30-bus test system for both single- and multi-DG existence where results are shown and discussed.

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Performance Investigation of Microgrid Stability Subsequent to Fault Provoked-Islanding with Different Loads and DG Conditions - 01/0

Hossam Eldin Abdallah Talaat

Ahmed A. Salem, Ali H. Kasem Alaboudy, Abdelazeem A. Abdelsalam

01/04/2016

Microgrids (MGs) are one of the most feasible structures that accommodate the increased penetration of the intermittent renewable distributed energy sources. Enabling MGs with renewable energy sources is crucial to meet the environmental concerns, and get economic benefits and reliability requirements. This paper details the impact of control strategies of an inverter-based DG on the MG stability during intentional and fault-provoked islanding conditions. The MG stability performance is analyzed with different load conditions. In addition, the effect of the DG penetration level is highlighted. Voltage and frequency deviations are taken as a key indicator for MG stability. A MG model along with the control strategies is simulated on Matlab/Simulink environment. The model includes a mix of synchronous and inverter-based DG units coupled with a combined load. The Simulation results show that the MG may lose its stable operation owing to the impact of DGs penetration level. MG control strategy has significant effect on the critical clearing time of a MG.

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Comparative Analysis of DFIG and SCIG Based Grid Connected Wind Turbine under Different Modes of Operation - 01/1

Hossam Eldin Abdallah Talaat

Ahmed A. Salem, Ali H. Kasem Alaboudy, Abdelazeem A. Abdelsalam

01/12/2015

wind power generators represent a prominent facility for generating renewable and clean bulk power to utility grids.Double fed induction generator (DFIG)with partial size back-to-back converter becomes the common option for variable speed wind power generation.In this paper,control strategies of DFIG scheme is proposed to capture maximum wind power and operate with unity P.F versusSquirrel Cage Induction Generator (SCIG). The control action of DFIG under different operating modes (i.e. sub, super synchronous speed) is examined.Comprehensive models of wind speed, wind turbine, DFIG and power electronic converters along with their control schemes are implemented in MATLAB/SIMULINK environment. Simulation results show the feasibility and robustness of the presented control scheme for DFIG based wind turbines.

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Modified Particle Swarm Optimization Based Proportional-Derivative Power System Stabilizer - 01/0

Hossam Eldin Abdallah Talaat

NMA Ibrahim, HEM Attia, AHK Alaboudy

01/03/2015

—During a change in operating condition, oscillations of small magnitude and low frequency often persist for long periods of time and in some cases even present limitations on power transfer capability. Generators in power systems are equipped with automatic voltage regulator (AVR) to control terminal voltage. It is known that AVR has a detrimental impact upon the dynamic stability of the power system. Power system stabilizers (PSS) are widely used to generate supplementary control signals for the excitation system in order to damp out low-frequency oscillations (LFOs). In this paper proportionalderivative power system stabilizer (PD-PSS) used to damping LFO after tuning the gains of the PSS by using PSO. The damping boundary condition of PSO technique is modified to improve its performance in the tuning and optimization process. Simulation studies performed on a typical single-machine infinite-bus (SMIB) system used in MATLAB Simulink program. Assessing the performance of the proposed modified PSO based PD-PSS with Speed deviation (∆ω) as an input signal using eigenvalue analysis. The proposed PSO based PDPSS is evaluated and examined under different operating conditions and inertia constant each one of them applied with two test cases small disturbance and short circuit. A comparative study between the proposed PSO based PD-PSS, original PSO based PD-PSS, and lead-lag PSS is done in this work. The results ensure the superiority, the effectiveness, and the robustness of the proposed PSS over the other techniques.

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Modified Particle Swarm Optimization Based Proportional-Derivative Power System Stabilizer - 01/0

Hossam Eldin Abdallah Talaat

NMA Ibrahim, HEM Attia, AHK Alaboudy

01/02/2015

During a change in operating condition, oscillations of small magnitude and low frequency often persist for long periods of time and in some cases even present limitations on power transfer capability. Generators in power systems are equipped with automatic voltage regulator (AVR) to control terminal voltage. It is known that AVR has a detrimental impact upon the dynamic stability of the power system. Power system stabilizers (PSS) are widely used to generate supplementary control signals for the excitation system in order to damp out low-frequency oscillations (LFOs). In this paper proportionalderivative power system stabilizer (PD-PSS) used to damping LFO after tuning the gains of the PSS by using PSO. The damping boundary condition of PSO technique is modified to improve its performance in the tuning and optimization process. Simulation studies performed on a typical single-machine infinite-bus (SMIB) system used in MATLAB Simulink program. Assessing the performance of the proposed modified PSO based PD-PSS with Speed deviation (∆ω) as an input signal using eigenvalue analysis. The proposed PSO based PDPSS is evaluated and examined under different operating conditions and inertia constant each one of them applied with two test cases small disturbance and short circuit. A comparative study between the proposed PSO based PD-PSS, original PSO based PD-PSS, and lead-lag PSS is done in this work. The results ensure the superiority, the effectiveness, and the robustness of the proposed PSS over the other techniques.

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Fault Detection and Classification Based on DWT and Modern Approaches for T.L Compensated with FACTS - 01/0

Hossam Eldin Abdallah Talaat

Noha M. Bastawy, Amr M. Ibrahim

01/01/2013

A new approach for detecting and classifying a fault for transmission line compensated with Flexible AC Transmission System (FACTS) is presented in this paper. Unified Power Flow Controller (UPFC) is one of the most advanced FACTS devices that can simultaneously and independently control both the real and reactive power flow in a transmission line. The proposed technique consists of preprocessing module based on Discrete Wavelet Transform (DWT) in combination with Artificial Neural Network (ANN) or Gaussian Process (GP) for detecting and classifying fault events.

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Allocation and Sizing of Distributed Generation Units for Minimizing Distribution Network Losses Using Genetic Algorithms - 01/0

Hossam Eldin Abdallah Talaat

Essam Al-Ammar

01/06/2012

This paper addresses the optimization problem of integration of Distributed Generation (DG) in distribution networks. Three Genetic Algorithms (GAs) have been developed to minimize the power losses of the system. The First GA enables the optimal sizing of the DG units given their locations. Alternatively, the second GA determines the optimal locations of the DG units assuming equal sizes of the units. The third GA enables the determination of both optimal sizes, on discrete values, and optimal locations. The results prove the effectiveness of the developed genetic algorithms in finding the optimal penetration level and optimal locations and sizes of the DG units to yield minimum losses of the system.

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Design and Experimental Investigation of a Decentralized GA-Optimized Neuro-Fuzzy Power System Stabilizer - 01/0

Hossam Eldin Abdallah Talaat

A. Alsulaiman and A. Abdennour

01/09/2010

The aim of this research is the design and implementation of a decentralized power system stabilizer (PSS) capable of performing well for a wide range of variations in system parameters and/or loading conditions. The framework of the design is based on Fuzzy Logic Control (FLC). In particular, the neuro-fuzzy control rules are derived from training three classical PSSs; each is tuned using GA so as to perform optimally at one operating point. The effectiveness and robustness of the designed stabilizer, after implementing it to the laboratory model, is investigated. The results of real-time implementation prove that the proposed PSS offers a superior performance in comparison with the conventional stabilizer.

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Fault diagnosis system for tapped power transmission lines - 01/0

Hossam Eldin Abdallah Talaat

E.A. Mohamed, E.A. Khamis

01/05/2010

This paper presents a design for a fault diagnosis system (FDS) for tapped HV/EHV power transmission lines. These lines have two different protection zones. The proposed approach reduces the cost and the complexity of the FDS for these types of lines. The FDS consists basically of fifteen artificial neural networks (ANNs). The FDS basic objectives are mainly: (1) the detection of the system fault; (2) the localization of the faulted zone; (3) the classification of the fault type; and finally (4) the identification of the faulted phase. This FDS is structured in a three hierarchical levels. In the first level, a preprocessing unit to the input data is performed. An ANN, in the second level, is designed in order to detect and zone localize the line faults. In the third level, two zone diagnosis systems (ZDS) are designed. Each ZDS is dedicated to one zone and consists of seven parallel-cascaded ANN's. Four-parallel ANN's are designed in order to achieve the fault type classification. While, the other three cascaded ANN's are designed mainly for the selection of the faulted phase. A smoothing unit is also configured to smooth out the output response of the proposed FDS. The proposed FDS is designed and evaluated using the local measurements of the three-phase voltage and current samples acquired at only one side. The sampling rate was taken 16 samples per cycle of the power frequency. Data window of 4 samples was utilized. These samples were generated using the EMTP simulation program, applied to the High-Dam/Cairo 500 kV tapped transmission line. All possible shunt fault types were considered. The effect of fault location and fault incipience time were also included. Moreover, the effect of load and capacitor switchings on the FDS performance was investigated. Testing results have proved the capability as well as the effectiveness of the proposed FDS.

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A GA-Optimized Neuro-Fuzzy Power System Stabilizer for Multi-Machine System - 01/0

Hossam Eldin Abdallah Talaat

A. Alsulaiman and A. Abdennour

01/09/2009

The aim of this research is the design of a decentralized Power System Stabilizer (PSS) capable of performing well for a wide range of variations in system parameters and loading conditions. In addition, the designed PSS should provide effective damping of small/large disturbances and local/inter-area oscillations. The framework of the design is based on Fuzzy Logic Control (FLC). In particular, the neuro-fuzzy control rules are derived from training three classical PSSs; each is tuned using GA (Genetic Algorithms) so as to perform optimally at one operating point. The effectiveness and robustness of the designed stabilizer is investigated. The results of simulation prove that the proposed PSS offers a superior performance in comparison with the conventional stabilizer presently adopted by the industry.

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An ANN Based Fault Diagnosis System for Tapped HV/EHV Power Transmission Lines - 01/0

Hossam Eldin Abdallah Talaat

E.A. Mohamed, E.A. Khamis

01/01/2009

This paper presents a design for a fault diagnosis system (FDS) for tapped high/extra-high voltage (HV/EHV) power transmission lines (TL's). These tapped lines have two different protection zones. The proposed approach reduces the cost and the complexity of the FDS for these types of lines. The FDS, basically, utilizes fifteen artificial neural networks (ANN's) to reach its output diagnosis. The FDS basic objectives are mainly: 1. the detection of the system fault; 2. the localization of the faulted zone; 3. the classification of the fault type; and finally 4. the identification of the faulted phase. This FDS is structured in a three hierarchical stages. In the first stage, a preprocessing unit to the input data is performed. An ANN, in the second stage, is designed in order to detect and zone localize the line faults. In the third stage, two zone diagnosis systems (ZDS) are designed. Each ZDS is dedicated to one zone and consists of seven parallel-cascaded ANN's. Four-parallel ANN's are designed in order to achieve the fault type classification. While, the other three cascaded ANN’s are designed mainly for the selection of the faulted phase. A smoothing unit is also configured to smooth out the output response of the proposed FDS. The proposed FDS is designed and evaluated using the local measurements of the three-phase voltage and current samples acquired at only one side. A sampling rate of 16 samples per cycle of the power frequency was taken. A data window of 4 samples was also utilized. These samples were generated using the EMTP simulation program, applied to the High-Dam/Cairo 500 kV tapped TL. All possible shunt fault types were considered. The effect of fault location and fault incipience time were also included. Moreover, the effect of load and capacitor switchings on the FDS performance was investigated. Testing results have proved the capability as well as the effectiveness of the proposed FDS.

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Adaptive Coordination of Overcurrent Relays - 01/0

Hossam Eldin Abdallah Talaat

01/01/2008

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Effects Of Electrical Supply Voltage Dips In Process Industry Applications - 01/0

Hossam Eldin Abdallah Talaat

01/01/2007

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Effects Of Electrical Supply Voltage Dips In Process Industry Applications - 01/0

Hossam Eldin Abdallah Talaat

01/01/2007

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Awards

Award Donor Date
the Golden prize (first class) as a distiguished evaluator King Abdulaziz City for Science and Technology “KACST” 2004

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