求解有排放和安全约束的动态经济调度问题的自适应差分和谐搜索算法

R. Arul, S. Velusami, G. Ravi
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引用次数: 2

摘要

本文提出了一种新的算法——自适应差分和谐搜索(SADHS)算法,用于解决具有安全约束的动态经济与排放调度问题。通过引入自适应方法来改变算法运行过程中突变常数的取值,提高了算法的搜索能力。为了证明该算法的有效性,在具有阀点效应、匝道速率限制、禁止操作区域和安全约束的IEEE-30总线测试系统上进行了测试。将该算法与差分和谐搜索(DHS)算法进行了比较。结果表明,该算法在求解质量、收敛速度和计算时间方面均优于DHS算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-adaptive differential harmony search algorithm to solve dynamic economic dispatch problem with emission and security constraints
In this paper, a new algorithm called Self-Adaptive Differential Harmony Search (SADHS) algorithm is proposed to solve the dynamic economic and emission dispatch (DEED) problem with security constraints. The searching ability of the proposed algorithm is improved by introducing a self-adaptive method to change the value of mutation constant during run of the algorithm. To show the effectiveness of the proposed algorithm, it is tested on IEEE-30 bus test system with valve point effects, ramp rate limits, prohibited operating zones, and security constraints. The result obtained by the proposed SADHS algorithm is compared with differential harmony search (DHS) algorithm. The result obtained by the proposed algorithm is found to be better than DHS algorithm in terms of solution quality, convergence speed and computational time.
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