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Optimal placement and sizing of distributed generation in distribution power system based on multi-objective harmony search algorithm

机译:基于多目标和谐搜索算法的配电网分布式发电优化布局

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This study deals with the optimal placement and sizing issue in distribution power system with distributed generation (DG). This issue is a sophisticated multi-objective optimization problem with constraints of investment and power system operation demands. In this paper, minimum power loss, minimum voltage deviation and maximal voltage stability margin are taken into account for the optimization of DG planning. To solve the comprehensive multi-objective optimization problem, a meta-heuristic searching algorithm harmony search (HS) is improved with the fast non-dominated sorting approach, which forms the novel intelligent optimization algorithm called multi-objective harmony search (MOHS). Simulation on IEEE 33-bus test system and comparisons with some other multi-objective evolutionary algorithms yield promising results for optimal placement and sizing of DG based on MOHS.
机译:这项研究处理具有分布式发电(DG)的配电系统中的最佳布置和选型问题。该问题是一个复杂的多目标优化问题,具有投资和电力系统运行需求的约束。在本文中,考虑了最小功率损耗,最小电压偏差和最大电压稳定裕度,以优化DG规划。为了解决综合的多目标优化问题,通过快速非支配排序方法改进了元启发式搜索算法和声搜索(HS),形成了一种新颖的智能优化算法,称为多目标和声搜索(MOHS)。 IEEE 33总线测试系统的仿真以及与其他一些多目标进化算法的比较,为基于MOHS的DG的最佳放置和尺寸确定提供了可喜的结果。

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