基于简化个人最优定向粒子群优化算法的经济调度

C. Chen
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引用次数: 15

摘要

本文采用简化的个人最优定向粒子群优化算法(SPPSO)求解考虑输电损耗的电力经济调度问题。SPPSO是一种简化版的面向个人最佳的粒子群优化器(PPSO),源于粒子群优化(PSO)。虽然从速度更新规则中去掉了一项,但SPPSO的性能并没有受到明显影响,特别是对于小尺度问题。然而,它在计算效率上具有优势。通过对具有不同发电机组数量的三个电力系统的测试,验证了该算法的有效性和性能。并与文献中其他方法的最优解进行了比较。结果表明,该方法确实能够快速获得高质量的解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Economic dispatch using simplified personal best oriented particle swarm optimizer
In this paper, the simplified personal best oriented particle swarm optimizer (SPPSO) is employed to solving economic power dispatch problem considering transmission losses. SPPSO is a simplified version of personal best oriented particle swarm optimizer (PPSO), stemming from particle swarm optimization (PSO). Although one term is eliminated from the velocity updating rule, the performance of SPPSO is not affected significantly, especially for small scale problems. Nevertheless, it gains the advantage of computation efficiency. The usefulness and capability of the proposed algorithm is verified via testing on three power systems having different numbers of committed generators. The optimal solutions obtained by the proposed method are compared with those obtained by other methods posted in literature. The results show that the proposed method indeed capable of obtaining high quality solutions quickly.
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