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A Method to Prevent Cascading Trip in Power Network Based on Nodal Power

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Genetic and Evolutionary Computing (ICGEC 2019)

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

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Abstract

This paper proposes a method to prevent cascading trip based on the action of relay protection and the output of generator as the optimization variable for aiming at the cascading trip in power grid. Firstly, the critical state of cascading trip is discussed, and the safety index of cascading trip in power grid is analyzed based on the analysis of the performance of cascading trip and the action of relay protection. On the basis of this index, a kind of optimized model of cascading trip prevention is given while considering the various constraints of power grid synthetically. This paper presents a complete algorithm flow for solving the optimized model combined with particle swarm optimization algorithm aiming at the proposed optimized model. Finally, on a IEEE39 system, an example is analyzed by the MATLAB program, which verifies the rationality of the proposed method.

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References

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Acknowledgment

This research was financially supported by Doctoral Research Foundation of Fujian University of Technology under the grant GY-Z13104, and Scientific Research and Development Foundation of Fujian University of Technology under the grant GY-Z17149.

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Authors and Affiliations

  1. School of Information Science and Engineering, Fujian University of Technology, Fujian, 350118, China

    Hui-Qiong Deng, Peng-Peng Wu, Xing-Ying Lin, Qin-Bin Lin & Chao-Gang Li

  2. Fujian Provincial University Engineering Research Center of Smart Grid Simulation Analysis and Integrated Control, Fujian, 350118, China

    Hui-Qiong Deng, Peng-Peng Wu, Xing-Ying Lin, Qin-Bin Lin & Chao-Gang Li

Authors
  1. Hui-Qiong Deng
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  2. Peng-Peng Wu
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  3. Xing-Ying Lin
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  4. Qin-Bin Lin
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  5. Chao-Gang Li
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Corresponding author

Correspondence to Peng-Peng Wu .

Editor information

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

Deng, HQ., Wu, PP., Lin, XY., Lin, QB., Li, CG. (2020). A Method to Prevent Cascading Trip in Power Network Based on Nodal Power. 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_34

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