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Multi-objective Optimisation of Distributed Generation Units in Unbalanced Distribution Systems

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Smart and Sustainable Engineering for Next Generation Applications (ELECOM 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 561))

Abstract

Due to the increased concern about the environment, distributed generation (DG) units have been widely introduced to the power system. However, DG units may have positive and negative impacts on the voltage profile and active power loss of a power system, depending on their size and location. In this paper, three algorithms namely multi-objective particle swarm optimisation (MOPSO), non-dominated sorting genetic algorithm (NSGA-II) and strength pareto evolutionary algorithm (SPEA2) were used to identify the optimum size, location and type of a DG unit in an unbalanced distribution system. The simulations were performed on the IEEE 34 Node Test Feeder System using OpenDSS and MATLAB such that the total active power loss and the voltage deviation are reduced. The effectiveness of the algorithms were evaluated based on the computation time and performance metrics such as generational distance, pure diversity and spread. It was found that all the three algorithms were suitable for the optimisation. However, NSGA-II had the lowest average computation time.

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Acknowledgments

Pamela Ramsami expresses her sincere gratitude to the Mauritius Research Council for the funding of the research through the Post Graduate Research Award.

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Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, University of Mauritius, Reduit, 80837, Mauritius

    Pamela Ramsami & Robert T. F. Ah King

Authors
  1. Pamela Ramsami
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  2. Robert T. F. Ah King
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Corresponding author

Correspondence to Robert T. F. Ah King .

Editor information

Editors and Affiliations

  1. Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK

    Peter Fleming

  2. Transnet Centre of Systems Engineering, University of the Witwatersrand, Wits, South Africa

    Beatrys Margaretha Lacquet

  3. Department of Computer Science, University of Surrey, Guildford, UK

    Saeid Sanei

  4. Michigan State University , East Lansing, MI, USA

    Kalyanmoy Deb

  5. Department of Mathematical Statistics, Lund University, Lund, Sweden

    Andreas Jakobsson

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Ramsami, P., Ah King, R.T.F. (2019). Multi-objective Optimisation of Distributed Generation Units in Unbalanced Distribution Systems. In: Fleming, P., Lacquet, B., Sanei, S., Deb, K., Jakobsson, A. (eds) Smart and Sustainable Engineering for Next Generation Applications. ELECOM 2018. Lecture Notes in Electrical Engineering, vol 561. Springer, Cham. https://doi.org/10.1007/978-3-030-18240-3_7

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  • DOI: https://doi.org/10.1007/978-3-030-18240-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-18239-7

  • Online ISBN: 978-3-030-18240-3

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