Optimizing the Generator Critical Clearing Time using Super Capacitor Energy Storage in the Grid Power System with Differential Evolution Algorithm

P. Talitha, I. Hafiz, R. Vincentius, P. Ardyono, L. Vita, H. Mauridhi
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Abstract

Electrical machines such as generator can lose its synchronization due to the oscillation when a large disturbance happens. It becomes the primary concern in power stability, especially in transient stability because it leads to blackout condition. This paper proposed the addition of Super Capacitor Energy Storage (SCES) by absorbing the excess power when a disturbance happens. Equal Area Criterion (EAC) is used to obtain the value of Critical Clearing Time (CCT). The simulation is conducted in Single Machine Infinite Bus (SMIB). The value of CCT before adding SCES is 0.272s, while after adding SCES it becomes 0.485s. In order to optimize the CCT, a Differential Evolution (DE) Algorithm is used. In this paper, SCES strengthening components (KSCES) used as the optimized parameter. As a result, the value of SCES becomes 0.574s, which is higher than before adding SCES and before optimizing the parameter of SCES.
基于差分进化算法的超级电容储能在电网系统中优化发电机临界清净时间
当发生较大的扰动时,发电机等电机会由于振荡而失去同步。它是电力稳定,特别是暂态稳定的首要问题,因为它会导致停电。本文提出了通过吸收扰动产生的多余功率来增加超级电容储能系统。关键清除时间(CCT)的取值采用等面积准则(EAC)。仿真在单机无限总线(SMIB)上进行。加入sce前的CCT为0.272s,加入sce后的CCT为0.485s。为了优化CCT,采用了差分进化算法。本文以SCES强化构件(KSCES)作为优化参数。结果,SCES的值为0.574s,高于添加SCES之前和优化SCES参数之前。
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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