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中南大学学报(英文版)

Journal of Central South University

Vol. 24    No. 4    April 2017

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Optimal setting and placement of FACTS devices using strength Pareto multi-objective evolutionary algorithm
Amin Safari1, Mojtaba Bagheri2, Hossein Shayeghi3

1. Department of Electrical Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran;
2. Sama Technical and Vocational Training College, Islamic Azad University, Bonab Branch, Bonab, Iran;
3. Technical Engineering Department, University of Mohaghegh Ardabili, Ardabil, Iran

Abstract:This work proposes a novel approach for multi-type optimal placement of flexible AC transmission system (FACTS) devices so as to optimize multi-objective voltage stability problem. The current study discusses a way for locating and setting of thyristor controlled series capacitor (TCSC) and static var compensator (SVC) using the multi-objective optimization approach named strength pareto multi-objective evolutionary algorithm (SPMOEA). Maximization of the static voltage stability margin (SVSM) and minimizations of real power losses (RPL) and load voltage deviation (LVD) are taken as the goals or three objective functions, when optimally locating multi-type FACTS devices. The performance and effectiveness of the proposed approach has been validated by the simulation results of the IEEE 30-bus and IEEE 118-bus test systems. The proposed approach is compared with non-dominated sorting particle swarm optimization (NSPSO) algorithm. This comparison confirms the usefulness of the multi-objective proposed technique that makes it promising for determination of combinatorial problems of FACTS devices location and setting in large scale power systems.

 

Key words: strength Pareto multi-objective evolutionary algorithm; static var compensator (SVC); thyristor controlled series capacitor (TCSC); static voltage stability margin; optimal location

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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