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Solved Environmental/Economic Dispatch Based on Multi-objective PSO

机译:基于多目标PSO的解决的环境/经济调度

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A new multi-objective evolutionary algorithm for Environmental/Economic power Dispatch (EED) problem based on Particle Swarm Optimization (PSO) is proposed in this paper. The new algorithm has adopted the maintenance method of Pareto candidate solution set based on the max-min distance density. The algorithm effectively guarantees the convergence of the algorithm and the diversity solutions. The performance of algorithm has been examined over the standard IEEE 30-bus six generator test system, and other multi-objective evolutionary algorithm are compared. Testing and comparing results showed this paper algorithm is feasible and efficient.
机译:提出了一种新的基于粒子群算法的环境/经济动力调度多目标进化算法。新算法采用了基于最大-最小距离密度的帕累托候选解集的维护方法。该算法有效地保证了算法和分集解的收敛性。已经在标准的IEEE 30总线六发电机测试系统上检查了算法的性能,并对其他多目标进化算法进行了比较。测试和比较结果表明该算法是可行和有效的。

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