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基于组合型交叉熵算法的多电源配电网故障定位 被引量:3

Fault location for multi-source distribution network based on combinational cross entropy algorithm
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摘要 提出一种利用组合型交叉熵算法实现多电源配电网故障定位的方法。考虑多电源配电网故障电流与设备状态的关系,建立表征配电网故障定位问题的优化模型,利用组合型交叉熵算法求取模型最优解,并给出算法的具体实现步骤。仿真结果表明该文算法能够对多电源配电网中的单点及多点故障进行准确定位,在伴有部分信息畸变的情况下,仍能给出正确结果,具有准确性和容错性高等优点。 A fault location method in multi source distribution network based on combinatorial CROSS work entropy algorithm was proposed in this paper. The optimization model of distribution net s for fault location was built in view of the relationship between short circuit current and equipment conditions in distribution network, and then the optimal solution of optimization mod el was obtained by using combinatorial cross entropy. The concrete steps of algorithm were also presented. The simulation results showed that the algorithm was with high precision and fault tolerance for single fault and mu results was not influenced by some e faults in the multi source distribution networks, and the d fault information
作者 边莉 边晨源
出处 《电力科学与技术学报》 CAS 2014年第3期86-91,共6页 Journal of Electric Power Science And Technology
基金 黑龙江省青年科学基金(QC2010023) 黑龙江科技大学优秀青年才俊计划
关键词 多电源配电网 故障定位 优化模型 组合型交叉熵 distribution network with multi sources fault location optimization model comhinatorial cross entropy
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