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Optimal setting and placement of FACTS devices using strength Pareto multi-objective evolutionary algorithm

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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.

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Authors and Affiliations

  1. Department of Electrical Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran

    Amin Safari

  2. Sama Technical and Vocational Training College, Islamic Azad University, Bonab Branch, Bonab, Iran

    Mojtaba Bagheri

  3. Technical Engineering Department, University of Mohaghegh Ardabili, Ardabil, Iran

    Hossein Shayeghi

Authors
  1. Amin Safari
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  2. Mojtaba Bagheri
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  3. Hossein Shayeghi
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Correspondence to Amin Safari.

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Safari, A., Bagheri, M. & Shayeghi, H. Optimal setting and placement of FACTS devices using strength Pareto multi-objective evolutionary algorithm. J. Cent. South Univ. 24, 829–839 (2017). https://doi.org/10.1007/s11771-017-3485-x

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  • DOI: https://doi.org/10.1007/s11771-017-3485-x

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