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Optimal Allocation of Micro SMES Units for Power System Stabilization by Means of Genetic Algorithm

机译:通过遗传算法优化电力系统稳定电力中小企业单元的优化分配

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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).
机译:本文涉及通过许多微小中小企业单元的主动功率控制稳定具有WPGS(风力发电系统)的动力系统。用于仿真的示例电力系统包括三个水力电站,包括两个泵送存储站,两个风力发电站和长传输线。假设风速变化,并且使用考虑同步发电机的振荡来定义性能指标。为了获得预定数量的微小SMES单元的最佳分配,基于所定义的性能索引来采用遗传算法(GA),并且将结果与禁忌搜索(TS)获得的结果进行比较。

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