基于粒子群算法与模拟退火算法的一种混合配电网重构算法

A Hybrid Distribution Network Reconstruction Algorithm Based on Particle Swarm Algorithm and Simulated Annealing Algorithm

本文首先对配电网重构的意义,研究现状以及当下的几种方法等方面进行分析,并且对比了几种主要重构方法的优缺点。然后,介绍亚启发式算法中的粒子群算法与模拟退火算法,并将二者有效地进行融合互补,形成一种新的混合算法。此方法利用粒子群算法快速局部搜索能力和模拟退火算法全局收敛的优点,使其既能以较大的概率跳出局部的极值点,又能提高收敛速度。最后,将这种混合算法应用于配电网重构中,介绍了配电网的简化分析方法,并阐述了配电网的粒子群初始化、参数设置、编码规则等内容,并通过IEEE33节点和69节点系统基于MATLAB平台的仿真,验证算法的可行性和优越性。

This paper first analyzes the significance of distribution network reconstruction, the current research status and several current methods, and compares the advantages and disadvantages of several major methods.Then, the Particle Swarm optimization algorithm and the Simulated Annealing algorithm in the sub-heuristic algorithm are introduced, and the two are effectively fused and complementary to form a new kind of hybrid algorithm.This method takes advantage of the rapid local search ability of PSO and the global convergence of SA,so that it can not only jump out of the local extreme point with a large probability, but also improve the convergence speed.Finally, this hybrid algorithm is applied to the reconstruction of the distribution network, the simplified analysis method of the distribution network is introduced, and the particle swarm initialization, parameter setting, coding rules and other contents of the distribution network are elaborated, and the feasibility and superiority of the algorithm are verified through the simulation of the IEEE33 node and 69 node systems based on the MATLAB platform.