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Multi-objective optimal power flow solution based on differential harmony search algorithm

机译:基于差分和声搜索算法的多目标最优潮流求解

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In this paper, the nonlinear optimal control problem is formulated as a multi-objective mathematical optimization problem. Harmony search (HS) algorithm is one of the new heuristic algorithms. The differential harmony search (DHS) optimization algorithm is introduced for the first time in solving the optimal power flow(OPF) solution. A case on optimal power flow problem in the IEEE 30 bus system is presented to show the methodology's feasibility and efficiency, compared with the existing optimal power flow problem in power system methods, the search time of the DHS optimization algorithm is shorter and the result is close to the ideal solution, simultaneously.
机译:本文将非线性最优控制问题表述为多目标数学优化问题。和谐搜索(HS)算法是新的启发式算法之一。为解决最优潮流(OPF)解决方案,首次引入了差分和谐搜索(DHS)优化算法。以IEEE 30总线系统中的最优潮流问题为例,说明该方法的可行性和有效性。与电力系统方法中存在的最优潮流问题相比,DHS优化算法的搜索时间更短,结果是:同时接近理想的解决方案。

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