基于量子遗传双稳态系统的配电网故障选线方法

针对含分布式电源(DG)的配电网发生单相接地故障的情况,提出一种基于量子遗传双稳态系统的含DG配电网故障选线方法。首先,基于互相关余弦和量子遗传算法,对双稳态系统的势函数参数进行优化,并利用优化双稳态系统提取噪声背景下各线路的暂态零序电流。然后,求取各线路暂态零序电流的归一化能量系数,计算各线路的归一化余弦系数。最后,依据归一化能量系数和余弦系数求取各线路的特征角度,判定特征角度大于90°的线路为故障线路。大量仿真实验结果表明,所提方法不受高斯白噪声强度、故障电阻和故障距离等因素影响,具有可行性、有效性和应用性。

Faulty line selection method based on quantum genetic bistable system for distribution network

Aiming at single phase to ground fault in the distribution network with DG(Distributed Generation),a faulty line selection method based on quantum genetic bistable system for distribution network with DG is proposed. Firstly, the potential function parameters of bistable system are optimized by cross correlation cosine and quantum genetic algorithm, and the optimized bistable system is used to extract transient zero-sequence current of each line in noise background. Then, the normalized energy coefficient of transient zero-sequence current and cosine factor are calculated for each line. Finally, the feature angle is defined according to normalized energy coefficients and cosine factors, the line with feature angle bigger than 90° is judged as the faulty line. A large number of simulation experiments prove that immune to Gauss white noise intensity, fault resistances and fault distance and so on, the proposed method has the feasibility, effectiveness and applicability.