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首页> 外文期刊>Electric power systems research >Environmental/economic dispatch using multi-objective harmony search algorithm
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Environmental/economic dispatch using multi-objective harmony search algorithm

机译：使用多目标和谐搜索算法的环境/经济调度

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摘要

This paper presents a new multi-objective harmony search (MOHS) algorithm for environmental/economic dispatch (EED) problem. The EED problem is formulated as a non linear and constrained optimization problem with competing and non-commensurable objectives. The two competing objectives, fuel cost and emission, were optimized simultaneously using the proposed MOHS algorithm. The MOHS algorithm uses a non dominated sorting and ranking procedure with dynamic crowding distance to develop and maintain a well distributed Pareto-optimal set. The proposed algorithm has been tested on the standard IEEE 30 bus and 118 bus systems. Simulation results are compared with the fast non dominated sorting genetic algorithm (NSGA-ll) method. The results clearly show that the proposed method is able to produce a well distributed Pareto-optimal solutions than the NSGA-ll method.
机译：本文提出了一种新的针对环境/经济调度（EED）问题的多目标和谐搜索（MOHS）算法。 EED问题被表述为具有相互竞争且不可估量目标的非线性约束优化问题。使用提出的MOHS算法同时优化了两个相互竞争的目标，即燃料成本和排放。 MOHS算法使用非拥挤的排序和排序程序以及动态拥挤距离来开发和维护分布良好的帕累托最优集。所提出的算法已在标准IEEE 30总线和118总线系统上进行了测试。仿真结果与快速非支配排序遗传算法（NSGA-11）方法进行了比较。结果清楚地表明，与NSGA-11方法相比，所提出的方法能够产生分布良好的帕累托最优解。

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