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Modified Shuffled Frog Leaping Algorithm for Solving Economic Load Dispatch Problem

机译:求解经济负荷分配问题的改进型随机蛙跳算法

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In the recent restructured power system scenario and complex market strategy, operation at absolute minimum cost is no longer the only criterion for dispatching electric power. The economic load dispatch (ELD) problem which accounts for minimization of both generation cost and power loss is itself a multiple conflicting objective function problem. In this paper, a modified shuffled frog-leaping algorithm (MSFLA), which is an improved version of memetic algorithm, is proposed for solving the ELD problem. It is a relatively new evolutionary method where local search is applied during the evolutionary cycle. The idea of memetic algorithm comes from memes, which unlike genes can adapt themselves. The performance of MSFLA has been shown more efficient than traditional evolutionary algorithms for such type of ELD problem. The application and validity of the proposed algorithm are demonstrated for IEEE 30 bus test system as well as a practical power network of 203 bus 264 lines 23 machines system.
机译:在最近的电力系统重组和复杂的市场策略中,以绝对最低成本运行不再是分配电力的唯一标准。导致发电成本和功率损耗最小化的经济负荷分配(ELD)问题本身就是一个多重冲突的目标函数问题。本文提出了一种改进的改组蛙跳算法(MSFLA),它是模因算法的一种改进版本,用于解决ELD问题。这是一种相对较新的进化方法,其中在进化周期中应用了局部搜索。模因算法的思想来自于模因,而模因与基因可以适应自身。对于此类ELD问题,MSFLA的性能已显示出比传统的进化算法更有效。证明了该算法在IEEE 30总线测试系统以及203总线264线23机系统的实际电网中的应用和有效性。

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