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A Panorama of Future Interdependent Networks: From Intelligent Infrastructures to Smart Cities Read chapter Read first chapter

2018 | OriginalPaper | Chapter

12. Optimal SVC Allocation in Power Systems for Loss Minimization and Voltage Deviation Reduction

Authors : M. Hadi Amini, Rupamathi Jaddivada, Bakhtyar Hoseinzadeh, Sakshi Mishra, Mostafa Rezaei Mozafar

Published in: Sustainable Interdependent Networks

Publisher: Springer International Publishing

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Abstract

Transient stabilization of the power system network is of major importance in this era of the deregulated power systems. Static VAR compensator (SVC) proves to be more economical and efficient than its other counterparts. Due to installation cost of SVCs, there is an exigent requirement to optimize the SVC installation that could yield maximum benefit. In this paper, first the contingencies that result in maximum disturbance to the grid are realized and ranked accordingly. The measurement used for this purpose is the voltage profile index. Next, genetic algorithm has been used to find out the rating of the SVC and its location that could mitigate the contingency and minimize the weighted sum of the total power loss in the grid, sum of voltage deviations at all the buses, and the rating of SVC to be installed. The weights of each of the objective function terms are assigned according to their importance for the system. In order to evaluate the effectiveness of the proposed approach, it is applied to two test networks. It has been found out that the obtained SVC location and rating maintained voltage security and minimized power loss in the event of contingency.

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Metadata
Title
Optimal SVC Allocation in Power Systems for Loss Minimization and Voltage Deviation Reduction
Authors
M. Hadi Amini
Rupamathi Jaddivada
Bakhtyar Hoseinzadeh
Sakshi Mishra
Mostafa Rezaei Mozafar
Copyright Year
2018
Book
Sustainable Interdependent Networks

Print ISBN: 978-3-319-74411-7

Electronic ISBN: 978-3-319-74412-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-74412-4_12