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Robust Designing of the PSS and SVC Using Genetic Algorithm

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10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019 (ICSCCW 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1095))

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Abstract

In recent years, flexible alternative current transmission systems (FACTS) devices as well as static VAr compensator (SVC) have been used increasingly for dynamic voltage control. Lack of coordination between SVC and power system stabilizer (PSS) parameters can oppose bad effects and generator voltage as well as angular oscillation generator, so simultaneous coordination of stabilizer parameters and SVC is of great interest. In this paper, the problem of stability of a model power system is presented with SVC and PSS block diagrams modeling. Then, the objective function of optimal performance of the model network is to provide stability in various faults. Genetic algorithm (GA) is used to determine the parameters of control systems. Finally, by simulation in MATLAB software, analysis will be reviewed and approved.

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Author information

Authors and Affiliations

  1. Engineering Faculty, Near East University, 99138, Nicosia, North Cyprus, Mersin 10, Turkey

    Fahreddin Sadikoglu & Ebrahim Babaei

  2. Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

    Ebrahim Babaei

Authors
  1. Fahreddin Sadikoglu
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  2. Ebrahim Babaei
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Corresponding author

Correspondence to Fahreddin Sadikoglu .

Editor information

Editors and Affiliations

  1. Joint MBA Program, Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Rafik A. Aliev

  2. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  4. Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA

    Mo Jamshidi

  5. Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Mustafa B. Babanli

  6. Department of Mechatronics, Near East University, Nicosia, Turkey

    Fahreddin M. Sadikoglu

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Sadikoglu, F., Babaei, E. (2020). Robust Designing of the PSS and SVC Using Genetic Algorithm. In: Aliev, R., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F. (eds) 10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019. ICSCCW 2019. Advances in Intelligent Systems and Computing, vol 1095. Springer, Cham. https://doi.org/10.1007/978-3-030-35249-3_70

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