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Chaotic Particle Swarm Optimization Algorithm for Fault Location of Distribution Network with DG

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Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2021 (AISI 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 100))

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Abstract

To achieve accurate and fast fault location in the distribution network, this paper introduces chaos theory into PSO (Particle Swarm Optimization). It proposes a fault location method for distribution networks with distributed generation based on CPSO (Chaotic Particle Swarm Optimization). The IEEE14-node distribution network model with multiple power sources is established. Then, the coding mode, switching function, and fitness function of distribution network fault information is constructed. Finally, the location results of single-point fault, multi-point fault, and information distortion are analyzed, respectively. The results show that the chaotic particle swarm algorithm proposed in this paper can achieve accurate location and outperform the traditional particle swarm algorithm, genetic algorithm, and the recently proposed manta ray foraging algorithm in convergence, accuracy, and algorithm efficiency.

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Author information

Authors and Affiliations

  1. School of Electronic Electrical and Physics, Fujian University of Technology, Fuzhou, China

    Kuo-Chi Chang, Rong-sheng Zhang, Hui-qiong Deng & Governor David Kwabena Amesimenu

  2. Department of Applied Intelligent Mechanical and Electrical Engineering, Yu Da University of Science and Technology, Miaoli County, Taiwan (R.O.C.)

    Kuo-Chi Chang

  3. Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China

    Rong-sheng Zhang & Governor David Kwabena Amesimenu

  4. Department of Tourism, Shih-Hsin University, Taipei City, Taiwan (R.O.C.)

    Fu-Hsiang Chang

  5. Institute of Environmental Engineering, National Taiwan University, Taipei City, Taiwan (R.O.C.)

    Hsiao-Chuan Wang

  6. Department of Business Administration, North Borneo University College, Kota Kinabalu, Sabah, Malaysia

    Kuo-Chi Chang

Authors
  1. Kuo-Chi Chang
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  2. Rong-sheng Zhang
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  3. Hui-qiong Deng
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  4. Fu-Hsiang Chang
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  5. Hsiao-Chuan Wang
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  6. Governor David Kwabena Amesimenu
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Editor information

Editors and Affiliations

  1. Information Technology Department, Cairo University, Faculty of Computers and Artificial Intelligence, Giza, Egypt

    Aboul Ella Hassanien

  2. Faculty of Electrical Engineering and Computer Science, VŠB-Technical University of Ostrava, Ostrava-Poruba, Moravskoslezsky, Czech Republic

    Václav Snášel

  3. Fujian University of Technology, Shulin District, New Taipei, Taiwan

    Kuo-Chi Chang

  4. Faculty of Science, Helwan University, Cairo, Egypt

    Ashraf Darwish

  5. University of Salford, Manchester, UK

    Tarek Gaber

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Chang, KC., Zhang, Rs., Deng, Hq., Chang, FH., Wang, HC., Amesimenu, G.D.K. (2022). Chaotic Particle Swarm Optimization Algorithm for Fault Location of Distribution Network with DG. In: Hassanien, A.E., Snášel, V., Chang, KC., Darwish, A., Gaber, T. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2021. AISI 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 100. Springer, Cham. https://doi.org/10.1007/978-3-030-89701-7_23

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