基于遗传算法的风电机组最优插入电压稳定最大化

M. Mosbah, R. Bawazir, N. Cetin, S. Arif, K. Sebaa
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引用次数: 1

摘要

将清洁或可再生能源(如基于风力涡轮机的分布式发电)整合到电力系统中已成为电网运营商的优先事项之一。本文利用遗传算法技术(GAT)研究了在输电网中寻找小波变换的最佳位置和大小,以使λ参数最大化,从而保证电压的稳定性。该方法已在改进的ieee30总线网络上得到应用,并附有MATLAB代码。结果表明,风电机组集成对改善电网电压稳定性是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Voltage Stability Maximization by Optimal Wind Turbine Insertion Using Genetic Algorithm
The integration of clean or renewable sources such as wind turbines based distributed generation (WT_DG) into the power system has become one of the priorities of the grid operator. In this paper a study on the search for optimal locations and sizes of WT in the transmission network has been carried in order to maximize the lambda parameter and therefore the voltage stability, using Genetic Algorithms Technique (GAT). This method has been applied on the modified IEEE 30 bus network, with MATLAB code. The results demonstrated the effectiveness of wind turbine integration in improving the voltage stability of the studied network.    
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