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Comparison of Harmony Search Algorithm, Improved Harmony search algorithm with Biogeography based Optimization Algorithm for Solving Constrained Economic Load Dispatch Problems

机译:和声搜索算法的比较,改进了基于生物地理的优化算法的和声搜索算法,用于解决受限经济负担调度问题

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This paper presents comparison of Harmony search algorithm (HSA), improved harmony search (IHS) algorithm, Biogeography based optimization (BBO) algorithm for solving constrained economic load dispatch problems in the power system. In the IHS algorithm multiple harmony memory consideration rates and dynamic pitch adjusting rate are used to generate new solution vector. .This proposed algorithms have been successfully tested in the test system which consists of twenty generating units with ramp rate limits and valve point loading constraint. The results obtained through the simulation results reveal that IHS algorithm has minimum total fuel cost and has good convergence characteristics when compared to both Harmony search algorithm and Biogeography based optimization algorithm.
机译:本文提出了和声搜索算法(HSA),改进的和声搜索(IHS)算法,生物地理基础优化(BBO)算法的比较,用于解决电力系统的受限经济负载派遣问题。在IHS算法中,使用多个和谐记忆考虑率和动态音高调节率来产生新的解决方案矢量。这一提出的算法已在测试系统中成功测试,该测试系统由具有斜坡速率限制和阀点负载约束的二十个生成单元组成。通过模拟结果获得的结果表明,与和声搜索算法和基于生物地相论的优化算法相比,IHS算法具有最小总燃料成本并且具有良好的收敛特性。

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