改进和声搜索算法用于配电网重构

Improved Harmony Search Algorithm for Distribution Network Reconfiguration

针对配电网重构大规模非线性混合整数规划的特点,提出采用通过粒子群算法控制参数进化的改进和声搜索算法对配电网进行重构。首先,将粒子群算法引入和声搜索算法,用于智能引导和声搜索算法参数的进化;然后,提出新的支路组断开原则及其相关概念。通过上述改进克服固定参数设置对和声搜索算法搜索能力的制约,提高算法的全局寻优性能并有效减少不可行解的生成。最后,将上述方法和原则结合对IEEE33节点系统以及PG&E69节点系统进行仿真,得到的仿真结果验证了该方法的准确性和有效性。

Considering the characteristics of large scale nonlinear mixed integer programming for distribution networkreconfiguration, an improved harmony search algorithm is proposed, which controls the parameter evolution of by parti-cle swarm algorithm. First, particle swarm algorithm is introduced to harmony search algorithm to smartly guide the pa-rameter evolution. Then, new disconnecting rules of branch groups and their related concepts are also proposed. Byovercoming the constraints on the search capabilities due to fixed parameters, global optimization performance is im-proved and the generation of infeasible solutions is reduced. Finally, by combining the above method and principles,the accuracy and effectiveness of the proposed algorithm are verified by simulation on IEEE 33-node system and PG＆E69-node system.