基于多尺度量子谐振子优化算法的含DG配电网故障定位

Multi-Scale Quantum Harmonic Oscillator Optimization Algorithm for Solving Fault Location in Distribution Networks with DG

摘要: 在运用优化算法进行配电网故障定位时，开关函数由于DG的接入变得复杂且搜索速度慢。为迅速、精确地对含DG配电网进行故障定位，本文建立的基于双向潮流的开关函数模型，不但适用于单电源单故障，也适用于多DG多故障情况。提出了一种适用于含DG配电网的分区域处理方法，将网络划分为有源树和无源树枝，通过剔除无故障电流的无源树枝来减少解的维数，大大提高搜索效率。本文以故障位置为变量，通过限制解的故障个数，避免产生大量不可行解，利用多尺度谐振子优化算法迅速、精确的特点进行全局寻优。通过算例分析，验证了本方法的快速性与准确性。

Abstract: The distributed generators (DG) make the establishment of switch function extremely complex and slow searching when optimization algorithms are applied to locate the fault points. In order to make the location of fault points of distributed system with DG rapid and accurate, the model based on bilateral power flow is established in this paper, suited for not only single-source-single- fault situation, but also the situation of multiple distributed generators with multiple faults. A regional processing method for DG distribution network is raised, which divides the network into active trees and passive branches. The solution’s dimension is reduced by eliminating the passive branches free of fault current, so as to improve search efficiency. This method takes fault position as variable, so a large number of infeasible solutions are eliminated by limiting the fault number. It applies harmony algorithm on global optimization due to its speed and accuracy. The validity and rapidity are confirmed by example analysis.

文章引用：吴丽芳, 高立克, 欧世锋. 基于多尺度量子谐振子优化算法的含DG配电网故障定位[J]. 智能电网, 2017, 7(5): 354-361. https://doi.org/10.12677/SG.2017.75039

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