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A Fuzzy-PSO Based Control of DSTATCOM for Voltage Regulation in Distribution Grids

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Intelligent Computing, Information and Control Systems (ICICCS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1039))

Abstract

Voltage regulation is one of the major power quality issues in Low voltage distribution grids. With strict voltage regulation grid code in place, the usage of voltage-controlled DSTATCOM has increased. This paper deals with modelling and simulation of Fuzzy-Particle Swarm Optimization (Fuzzy-PSO) based control of DSTATCOM to mitigate power quality issues in Low voltage distribution grids. The proposed control is a temporary solution for voltage regulation in order to meet grid code. The model consists of two stages, power stage and control stage. The concept Fuzzy-PSO is used to operate the DSATCOM in order to minimize distribution of unnecessary reactive power compensation. Simulation results establish the voltage regulation features of Fuzzy-PSO algorithm for DSTATCOM for both linear and nonlinear loads. The results are obtained from the MATLAB/SIMULINK environment.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Vaagdevi College of Engineering, Bollikunta(V), Warangal, 506005, India

    B. Durga Hari Kiran, Y. Hareesh Kumar & T. Navya

Authors
  1. B. Durga Hari Kiran
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  2. Y. Hareesh Kumar
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  3. T. Navya
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Corresponding author

Correspondence to B. Durga Hari Kiran .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Vaigai College of Engineering, Madurai, Tamil Nadu, India

    A. Pasumpon Pandian

  2. Electrical and Computer Engineering, University of Applied Sciences, Egaleo, Attiki, Greece

    Klimis Ntalianis

  3. Department of Business Administration, The Gerald Schwartz School of Business, Antigonish, NS, Canada

    Ram Palanisamy

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Durga Hari Kiran, B., Hareesh Kumar, Y., Navya, T. (2020). A Fuzzy-PSO Based Control of DSTATCOM for Voltage Regulation in Distribution Grids. In: Pandian, A., Ntalianis, K., Palanisamy, R. (eds) Intelligent Computing, Information and Control Systems. ICICCS 2019. Advances in Intelligent Systems and Computing, vol 1039. Springer, Cham. https://doi.org/10.1007/978-3-030-30465-2_29

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