基于回溯迭代搜索-粒子群算法的配电网无功优化研究

Ｒesearch of Ｒeactive Power Optimization in Distribution Network Based on Particle Swarm Optimization Algorithm Integrated with Backtracking Iterative Search

摘要:

在考虑配电网电压质量和无功补偿设备容量限制的条件下,以有功网损最小为优化目标、网络拓扑结构为约束条件建立了无功优化模型。针对粒子群算法存在着早熟现象、收敛速度慢和易陷入局部最优解的特点,提出了一种基于回溯迭代的粒子群算法(BPSO)。该算法采用回溯迭代的"0-1"特性,在寻优过程中通过剪枝函数避免无效搜索,改善了优化的路径,从而提高了PSO全局寻优性能。通过IEEE 30节点配电网算例的仿真,验证了BPSO算法的优解性,并与常规PSO算法对比证明所提算法的优越性。

Abstract:

A comprehensive optimization model of distribution network is established which takes active power loss minimization as the optimization objective and network topology as constraint conditions，under considering the voltage quality of distribution network and the capacity limitation of reactive power compensation equipment． According to the characteristics of particle swarm algorithm ( PSO) ，that is，premature phenomenon，slow convergence and easily getting the local optimal solution，a particle swarm algorithm based on backtracking iteration ( BPSO) is proposed． The algorithm adopts the "0 － 1" characteristic of backtracking iteration，avoids the invalid search by pruning function in the process of optimization，and improves the optimization path，thus the global optimization performance of PSO is improved． The simulation of IEEE 30 node distribution network example verifies the optimal solution of BPSO algorithm，and the comparison results with the conventional PSO algorithm show the superiority of the proposed algorithm．