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

机译:利用差分进化算法在电网电力系统中利用超级电容器储能优化发电机临界清零时间

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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 (K
机译:当发生大的干扰时,发电机等电机会由于振荡而失去同步。它成为电源稳定性(尤其是瞬态稳定性)的主要问题,因为它会导致断电状态。本文提出了通过在发生干扰时吸收多余的功率来增加超级电容器能量存储(SCES)。等面积标准(EAC)用于获取关键清除时间(CCT)的值。仿真是在单机无限总线(SMIB)中进行的。添加SCES之前的CCT值为0.272s,添加SCES之后的CCT值为0.485s。为了优化CCT,使用了差分进化(DE)算法。本文采用SCES加强组件(K

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