Multi Objective Harmony Search Algorithm For Optimal Power Flow
Multi Objective Harmony Search Algorithm For Optimal Power Flow
复制标题
DOI：
--
复制
发表时间：
2010
影响因子：
7.3
通讯作者：
S. Sivasubramani;K. Swarup
中科院分区：
文献类型：
--
作者：
S. Sivasubramani;K. Swarup
提出了一种求解最优潮流问题的多目标和声搜索算法。最优潮流问题是一个非线性约束多目标优化问题，其中考虑了不同的目标和约束条件。快速精英非支配排序和拥挤距离已被用于寻找和管理帕累托最优前沿。最后，一个基于模糊的机制已被用来选择一个妥协的解决方案，从帕累托集。所提出的MOHS算法已被测试的IEEE 30节点系统与不同的目标。仿真结果表明，该方法能够产生真实的和良好的分布的Pareto最优解的OPF问题。
—This paper proposes a multiobjective harmony search (MOHS) algorithm for optimal power flow (OPF) problem. OPF problem is formulated as a nonlinear constrained multiobjective optimization problem where different objectives and different constraints have been considered. Fast elitist non dominated sorting and crowding distance have been used to find and manage the Pareto optimal front. Finally, a fuzzy based mechanism has been used to select a compromise solution from the Pareto set. The proposed MOHS algorithm has been tested on IEEE 30 bus system with different objectives. Simulation results clearly show that the proposed method is able to generate true and well distributed Pareto optimal solutions for OPF problem.