基于改进粒子群的含分布式电源配电网故障智能定位方法
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国网山东省电力公司枣庄供电公司,山东 枣庄 277000

作者简介:

师延飞(1988—),硕士,工程师,研究方向:电力工程技术。

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TM73

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Intelligent fault location method for distribution network with distributed generation
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Zaozhuang Power Supply Company,State Grid Shandong Electric Power Company,Zaozhuang,Shandong 277000 ,China

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    摘要:

    为了降低传统方法的高误判率与错判率,文章提出了基于改进粒子群的含分布式电源配电网故障智能定位方法。构建考虑节点特性与拓扑变动的目标函数,并结合适应度函数与改进的开关策略,以精准建模故障定位问题。同时,采用全局感知搜索策略改进粒子群算法,经初始化、区域划分、粒子迭代及故障精准判别,可以有效避免早熟收敛,显著提升了故障定位的准确性与效率。实验表明,文章方法的误判率与错判率均被有效控制在1%以内,显著提升了含分布式电源配电网故障定位的准确性和可靠性。

    Abstract:

    In order to reduce the high error rate and error rate of traditional methods, an intelligent fault location method of distribution network with distributed power supply based on improved particle swarm is proposed. The objective function considering node characteristics and topological changes is constructed, and the fitness function and improved switching strategy are combined to accurately model the fault location problem. At the same time, using the global awareness search strategy to improve the particle swarm optimization algorithm, through initialization, region division, particle iteration and accurate fault identification, it can effectively avoid premature convergence, and significantly improve the accuracy and efficiency of fault location. Experimental results show that both the error rate and the error rate of the proposed method are effectively controlled within 1%, which significantly improves the accuracy and reliability of fault location in distribution network with distributed power supply.

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师延飞.基于改进粒子群的含分布式电源配电网故障智能定位方法[J].计算机应用文摘,2024,40(22):182-184

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  • 在线发布日期: 2024-11-22
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