基于遗传算法的中小微机组稳定优化配置

Yuan-Zhi Li, K. Wada, Y. Ohsawa, Jun Zhou
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引用次数: 6

摘要

本文研究了通过对多个中小微机组进行有功控制来稳定风力发电系统的问题。模拟的样本电力系统包括3座水电站,其中2座抽水蓄能电站、2座风力发电站和长输电线。假设风速变化,并考虑同步发电机的振荡,定义了性能指标。为了获得预定数量的中小微企业单位的最优配置,基于确定的绩效指标,采用遗传算法(GA),并将结果与禁忌搜索(TS)进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Allocation of Micro SMES Units for Power System Stabilization by Means of Genetic Algorithm
The present paper is concerned with stabilization of a power system with WPGS (wind power generation system) by active power control of a number of micro SMES units. The sample power system for simulation includes three hydro power stations including two pumped storage stations, two wind power generation stations and long transmission lines. Wind velocity variations are assumed, and a performance index is defined with the oscillations of synchronous generators taken into account. In order to obtain the optimal allocation of micro SMES units of predetermined number, genetic algorithm (GA) is adopted based on the defined performance index, and the results are compared with that obtained by Tabu search (TS).
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