带分布式电源的配电网电能质量扰动源定位

为实现带分布式电源的智能配电网发生电能质量扰动时的自动精确定位,提出了一种粒子群优化算法和矩阵算法结合的电能质量扰动源自动定位算法。采用矩阵描述配电网拓扑结构和电能质量监测信息,建立了矩阵粒子群优化模型,构建了一种新的评价函数,通过矩阵粒子群迭代进行全局寻最优解。MATLAB仿真表明,该算法能实现在接入分布式电源情况下的扰动源自动精确定位,并具有定位准确、收敛性好、容错率高等优点。

ocation of Power Quality Disturbance Source in Distribution Network with Distributed Generators

In order to achieve automatic precise location of power quality disturbance in the smart distribution network with distributed generators, an algorithm for automatic location of power quality disturbance sources with the particle swarm optimization algorithm combined with the matrix algorithm is proposed. The distribution network topology and the power quality monitoring information are described by the matrix. An optimization model of matrix particle swarm is developed, and a new construction method of the evaluation function is proposed. The global optimal solution is searched through matrix particle swarm iteration. The MATLAB simulation results show that the algorithm is able to realize automatic precise location of disturbance sources in the smart distribution network with distributed generators and has such advantages as accurate location, good convergence and good fault tolerance. This work is supported by National Natural Science Foundation of China (No. 51207139), Zhejiang Provincial Natural Science Foundation of China (No. Y12E07005) and Zhejiang Provincial Education Department (No. Y201431752).