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International Conference on Genetic and Evolutionary Computing

ICGEC 2019: Genetic and Evolutionary Computing pp 78–86Cite as

Method for Calculating Grounding Quantity of TN-C System Based on Multi-objective Optimization

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1107))

Abstract

Aiming at the investment cost and safety, a mathematical model for giving the grounding point configuration is established for the TN-C grounding system of the power system, and a complete solution method is given. Firstly, based on the analysis of the characteristics of the TN-C grounding system, a mathematical model for configuring the grounding position to meet the lowest investment cost and the lowest contact voltage is presented. Aiming at the requirement of meeting the minimum contact voltage in this model, this paper gives a detailed calculation method for the contact voltage in the TN-C grounding system. Then combined with the actual characteristics of the model, this paper gives an unconstrained form and further The idea of using particle swarm optimization to solve the problem is given. Finally, a case study system is designed in this paper. The analysis program is compiled in MATLAB and the case analysis is carried out. The results show that the proposed method is feasible and effective.

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Acknowledgement

This work is Supported by Fuzhou Science and Technology Project (2018-G-30).

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Authors and Affiliations

  1. Fujian Institute of Engineering Smart Grid Simulation Analysis and Integrated Control of Fujian University Engineering Research Center, Fuzhou, 350118, Fujian, China

    Jielin Hua, Rongjin Zheng & Huiqiong Deng

  2. Fujian Shuikou Power Generation Group Corporation, Fuzhou, 350004, Fujian, China

    Siyu Chen

Authors
  1. Jielin Hua
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  2. Rongjin Zheng
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  3. Huiqiong Deng
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  4. Siyu Chen
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Corresponding author

Correspondence to Rongjin Zheng .

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Editors and Affiliations

  1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China

    Jeng-Shyang Pan

  2. Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway

    Jerry Chun-Wei Lin

  3. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China

    Yongquan Liang

  4. School of Computer Science, Engineering and Mathematics, Flinders University, Bedford Park, Australia

    Shu-Chuan Chu

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Cite this paper

Hua, J., Zheng, R., Deng, H., Chen, S. (2020). Method for Calculating Grounding Quantity of TN-C System Based on Multi-objective Optimization. In: Pan, JS., Lin, JW., Liang, Y., Chu, SC. (eds) Genetic and Evolutionary Computing. ICGEC 2019. Advances in Intelligent Systems and Computing, vol 1107. Springer, Singapore. https://doi.org/10.1007/978-981-15-3308-2_9

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