Optimal load shedding to improve static voltage stability employing black hole optimization algorithm

N. K. Sharma, A. Varma, S. C. Choube, S. Yadav
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引用次数: 3

Abstract

Stability in voltage profile is the core issue in developing and operating electrical power systems and it's violation is reported to be the cause of blackouts all over the word. Voltage collapse can be prevented by providing reactive power support via generators power scheduling, tap changing transformer, reactive power compensating devices, capacitor banks, FACTS devices. Subsequently, the last line of defense for voltage recovery is load shedding. This paper proposes a method to optimize the shedding of load mandatory to revive the stability of point of operation while justifying the operating constraints. Optimal load shedding is done after identification of critical load buses. The approach anticipates the risk of voltage instability in the system using L-index. Black Hole Algorithm (BHA) is employed for efficient optimization of load shedding against voltage collapse. Further, results have been analogized with Bare Bones PSO (BBPSO). The computation is carried on IEEE-14 bus system.
采用黑洞优化算法优化减载以提高静态电压稳定性
电压分布的稳定性是电力系统开发和运行的核心问题,违反电压分布的稳定性是造成世界各地停电的主要原因。电压崩溃可以通过发电机功率调度、分接变压器、无功补偿装置、电容器组、FACTS装置提供无功支持来防止。随后,电压恢复的最后一道防线是减载。本文提出了一种在合理的运行约束条件下,为恢复运行点的稳定性而对负荷强制卸载进行优化的方法。在确定临界负荷母线后进行最优减载。该方法利用l指数预测系统电压不稳定的风险。采用黑洞算法(BHA)对电压崩溃下的减载进行有效优化。此外,结果已与裸骨PSO (BBPSO)进行了类比。计算在IEEE-14总线系统上进行。
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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