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Genetic Algorithm for Improving Voltage Stability by Optimal Integration of Wind Source

机译:通过风源优化集成提高电压稳定性的遗传算法

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To modernize the electrical network, it is important to integrate the Distributed-Generation (DG)-based on wind energy sources. Such a source has already become necessary due to the limited availability of fossil fuels and the tendency to use clean energy. This work is focused on the study of the optimal integration of Wind Turbines (WT-DG) which takes into account the system constraints. This is achieved by searching for the optimal sites and sizes of WT-DGs for maximize voltage stability using a Genetic Algorithm (GA). The study is performed on the standard 30-bus modified power network using MATLAB code. The simulated results prove the voltage stability improved and power loss reduced as long as the number of WT-DGs increased in the network.
机译:为了使电气网络现代化,重要的是集成在风能源上的分布式发电(DG)。由于化石燃料的可用性有限,并且使用清洁能量的趋势,这种源已经成为必要的。这项工作的重点是研究风力涡轮机(WT-DG)的最佳集成,这考虑了系统约束。这是通过搜索使用遗传算法(GA)来最大化电压稳定性的WT-DG的最佳网站和大小来实现的。使用MATLAB代码对标准30柱修改电网进行该研究。模拟结果证明了电压稳定性改善,只要网络中的WT-DG的数量增加,电压稳定性降低了。

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