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M

M. A. El-Kady

Researcher at Hydro One

Publications -  6
Citations -  636

M. A. El-Kady is an academic researcher from Hydro One. The author has contributed to research in topics: Transient (oscillation) & Electric power system. The author has an hindex of 6, co-authored 6 publications receiving 611 citations.

Papers
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Load modeling for power flow and transient stability computer studies

TL;DR: The LOADSYN load model synthesis software package as discussed by the authors transforms data on load class mix, composition, and characteristics into the form required for commonly used flow and transient stability simulation programs.
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Transient stability index from conventional time domain simulation

TL;DR: In this paper, the authors present a practical and efficient method to incorporate energy analysis into conventional power system time domain transient stability simulation for producing a first swing stability index, which is a variation of the potential energy boundary source approach, utilizing a numerical transient energy function and a pseudo-fault-on trajectory starting from the dominant potential energy peak point of the postfault system trajectory.
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Dynamic Security Assessment Utilizing the Transient Energy Function Method

TL;DR: In this paper, the authors present applications of an efficient computerized technique for power system dynamic system security assessment using the transient energy function (TEF) method and demonstrate a practical application to the dynamic security problem in one portion of the Ontario Hydro system.
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Assessment of Real-Time Optimal Voltage Control

TL;DR: In this article, a detailed study of on-line voltage/var control performed on the Ontario Hydro system is presented. And the results of the study are shown that most of the savings could be achieved with voltage control cycle times of about one hour.
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Direct Transient Stability Analysis Using Energy Functions Application to Large Power Networks

TL;DR: An overview of the analytical and computational problems encountered in the large scale application of the TEF method is presented, and approaches used to overcome the problems are provided.