基于改进和声搜索算法的配电网多目标综合优化

Multi-Objective Integrated Optimization of Distribution Network Based on Improved Harmony Search Algorithm

针对含分布式电源(distributed generator,DG)的配电网,DG注入配电网的功率直接影响配电网重构结果。提出了一种基于改进和声搜索算法的配电网综合优化方案,该改进算法在产生和声库时引入混沌序列,利用反向学习策略产生新解,在搜索陷入局部最优时引入整体分布算法,使得算法能够快速收敛。将可调整出力的DG引入配电网重构的过程中,从而获得多目标配电网重构与DG注入功率的综合优化方案,最终达到降低网络损耗与电压偏移率的目的。以IEEE33节点测试系统进行了仿真计算,结果验证了文中方法的有效性。

In the distribution network with distributed power （distributed generator, DG）supplies, the power of DG injected into the distribution network directly affects the reconstruction of the distribution network. This paper presents a comprehen- sive optimization scheme for distribution networks based on im- proved harmony search algorithm. In order to optimize the per- formance of the distribution network, the paper introduces the chaotic sequence at initializing the harmony memory and uses the reverse learning strategy to generate new solutions. The nor- real distribution algorithm is introduced when the search is lo- calized for a fast convergence of the algorithm. The DG output which can be adjusted is introduced into the process of distri- bution network reconfiguration to obtain the multi-objective distribution network reconfiguration and to establish the inte- grated optimization scheme of the DG injection power, which fi- nally reduces the distribution network loss and voltage deviation rate.Using the IEEE 33 node test system as an example, the simulation results have confirmed the validity of the proposed method.