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Fault location of distribution network containing distributed power
ID：45 View Protection：ATTENDEE Updated Time：2022-11-02 17:32:59 Hits：1192 Poster Presentation

Start Time：2022-11-04 14:30（Asia/Shanghai）

Duration：12min

Session：S Power System and Automation » PS5Poster Session 5

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Abstract
针对分布式电源配电网故障定位时粒子群算法容易落入局部最优的问题，提出一种分组差分粒子群优化方法。该算法对粒子群进行分组操作，其中每组可以表示原始群体的特征，并且每个组的全局最优值被突变和选择。本文构建了配电网故障定位的目标函数，并以IEEE33节点配电网系统为例，对分布式电源进行了仿真测试。对粒子群算法、差分粒子群算法和算法进行了对比分析，结果表明算法在故障定位过程中不易落入局部收敛，精度和速度均有所提高。最后，通过配电网自动化平台验证了所提算法的有效性，进一步证明了该算法在实际工程中的可行性。
 
Keywords
distribution network, fault location, distributed power, packet, particle swarm optimization
Speaker
MuYang Li
Xiamen University of Technology

Submission Author
muyang li Xiamen University of Technology；School of International Education
zhi zhang chongqing university
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Important Date

  • Conference Date

    Nov 03

    2022

    to

    Nov 05

    2022

  • Aug 01 2022

    Draft paper submission deadline

  • Nov 04 2022

    Registration deadline

  • Nov 05 2022

    Contribution Submission Deadline

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