Lion Algorithm based Load Frequency Control for Interconnected Power System Incoordination with UPFC and Electric Vehicle

R. Shankar
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引用次数: 2

Abstract

The research attraction towards the renewable and green energy sources going to increases so PEV has great potential to participate in ancillary services. PEV has fast active power controllability and has large energy storage capacity makes PEV attractive. Large number of PEV has large energy storage capacity and has potential to participate in LFC. Due to less dependence on fossil fuel and less greenhouse gas emission makes attractive and the penetration of PEV in market is going to increases. In this paper discussed about the aggregation of PEV. Each PEV has different state of charge (SOC) and participation of PEV depending on its SOC. In this paper all the parameter of controller is tuned for LFC by the new optimization technique called lion optimization technique (LOA). LOA is nature inspired metaheuristic algorithm inspired by social hierarchy behaviour of lions from their birth till their death.
基于Lion算法的UPFC与电动车不协调互联电力系统负荷频率控制
可再生能源和绿色能源的研究吸引力越来越大,电动汽车参与辅助服务的潜力很大。电动汽车具有快速的有功可控性和巨大的储能容量,这使电动汽车具有吸引力。大量的PEV具有较大的储能容量,具有参与LFC的潜力。由于对化石燃料的依赖较少,温室气体排放较少,PEV在市场上的渗透率将会增加。本文讨论了PEV的聚集性。每个电动汽车都有不同的充电状态(SOC)和参与,这取决于它的SOC。本文采用一种新的优化技术——狮子优化技术(LOA)对LFC控制器的所有参数进行整定。LOA是受狮子从出生到死亡的社会等级行为启发的自然启发的元启发式算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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