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Self Adaptive Harmony Search algorithm for Optimal Network Reconfiguration

机译:自适应谐波搜索算法优化网络重构

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Distribution network reconfiguration is a complex combinatorial optimization process aimed at finding a radial operating structure that minimizes the system power loss, deviation of node voltages and service restoration while satisfying operating constraints. In this paper, a Self Adaptive Harmony Search algorithm (SAHSA) is proposed to solve the network reconfiguration problem in order to minimize the active and reactive power loss. SAHSA uses a stochastic search and local search instead of a gradient search. Forward and Backward Substitution Power Flow method is used to solve the radial distribution system. The proposed approach is tested on standard IEEE 33-bus and 69-bus radial distribution systems. The results are compared with Music Based Harmony Search Algorithm (MBHSA) and it is observed that the proposed method performed well in terms of the quality of solution.
机译:配电网络重新配置是一个复杂的组合优化过程,旨在找到一种径向操作结构,该结构可在满足操作约束的同时将系统功率损耗,节点电压偏差和服务恢复降至最低。本文提出了一种自适应谐波搜索算法(SAHSA)来解决网络重配置问题,以最大程度地减少有功和无功损耗。 SAHSA使用随机搜索和本地搜索而不是梯度搜索。采用前向和后向替代潮流法求解径向分布系统。所提出的方法已在标准的IEEE 33总线和69总线径向分配系统上进行了测试。将结果与基于音乐的和声搜索算法(MBHSA)进行了比较,发现该方法在解决方案质量方面表现良好。

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