S. F. Mekhamer

Work place: Electrical Power and Machines Department, Ain Shams University, Cario, Egypt



Research Interests: Computational Engineering, Engineering


Said F. Mekhamer was born in Egypt in 1964. He received the B.Sc. and M.Sc. degrees in electrical engineering from Ain Shams University, Cairo, Egypt, and the Ph.D. degree in electrical engineering from Ain Shams University with joint supervision from Dalhousie University, Halifax, NS, Canada, in 2002. He is currently an Assistant Professor in the Department of Electric Power and Machines, Ain Shams University. His research interests include power system analysis, power system protection, and applications of AI in power systems.

Author Articles
The Application of Phasor Measurement Units in Transmission Line Outage Detection Using Support Vector Machine

By A. Y. Abdelaziz S. F. Mekhamer M. Ezzat

DOI: https://doi.org/10.5815/ijisa.2013.08.02, Pub. Date: 8 Jul. 2013

Many protection applications are based upon the Phasor Measurement Units (PMUs) technology. Therefore, PMUs have been increasingly widespread throughout the power network, and there are several researches have been made to locate the PMUs for complete system observability. This paper introduces an important application of PMUs in power system protection which is the detection of single line outage. In addition, a detection of the out of service line is achieved depending on the variations of phase angles measured at the system buses where the PMUs are located. Hence, a protection scheme from unexpected overloading in the network that may lead to system collapse can be achieved. Such detections are based upon an artificial intelligence technique which is the support Vector Machine (SVM) classification tool. To demonstrate the effectiveness of the proposed approach, the algorithm is tested using offline simulation for both the 14-bus IEEE and the 30-bus IEEE systems. Two different kernels of the SVM are tested to select the more appropriate one (i.e. polynomial and Radial Basis Function (RBF) kernels are used).

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Static Security Enhancement and Loss Minimization Using Simulated Annealing

By A.Y. Abdelaziz S. F. Mekhamer M. A. L. Badr H. M. Khattab

DOI: https://doi.org/10.5815/ijisa.2013.04.03, Pub. Date: 8 Mar. 2013

This paper presents a developed algorithm for optimal placement of thyristor controlled series capacitors (TCSC’s) for enhancing the power system static security and minimizing the system overall power loss. Placing TCSC’s at selected branches requires analysis of the system behavior under all possible contingencies. A selective procedure to determine the locations and settings of the thyristor controlled series capacitors is presented. The locations are determined by evaluating contingency sensitivity index (CSI) for a given power system branch for a given number of contingencies. This criterion is then used to develop branches prioritizing index in order to rank the system branches possible for placement of the thyristor controlled series capacitors. Optimal settings of TCSC’s are determined by the optimization technique of simulated annealing (SA), where settings are chosen to minimize the overall power system losses. The goal of the developed methodology is to enhance power system static security by alleviating/eliminating overloads on the transmission lines and maintaining the voltages at all load buses within their specified limits through the optimal placement and setting of TCSC’s under single and double line outage network contingencies. The proposed algorithm is examined using different IEEE standard test systems to shown its superiority in enhancing the system static security and minimizing the system losses.

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