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首页> 外文期刊>International journal of swarm intelligence research >A Computational Comparison of Swarm Optimization Techniques for Optimal Load Shedding under the presence of Unified Power Flow Controller to Avoid Voltage Instability
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A Computational Comparison of Swarm Optimization Techniques for Optimal Load Shedding under the presence of Unified Power Flow Controller to Avoid Voltage Instability

机译：联合潮流控制器避免电压不稳定的最优减载群优化技术的计算比较

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摘要

Voltage instability has become a serious threat to the operation of modern power systems. Load shedding is one of the effective countermeasures for avoiding instability. Improper load shedding may result in huge technical and economic losses. So, an optimal load shedding is to be carried out for supplying more demand. This paper implements BAT and Firefly algorithms for solving the optimal load shedding problem to identify the optimal amount of load to be shed. This is applied for a multi objective function which conatins minimization of amount of load to be sheded, active power loss minimization and voltage profile improvement. The presence of with and with out Unified Power Flow Controller (UPFC) on load shedding for IEEE 57 bus system has been presented and analyzed. The results obtainedwith BAT and Firefly Algorithms were compared with Genetic Algorithm (GA).
机译：电压不稳定性已成为对现代电力系统运行的严重威胁。减载是避免不稳定的有效措施之一。甩负荷不当可能会导致巨大的技术和经济损失。因此，为了提供更多需求，将进行最佳的减载。本文采用BAT和Firefly算法来解决最佳减载问题，从而确定要减少的最佳负荷量。这适用于多目标函数，该函数包含最小化要消除的负载量，最小化有功功率损耗和改善电压曲线。提出并分析了IEEE 57总线系统在减载时是否带有统一潮流控制器（UPFC）。将BAT和Firefly算法获得的结果与遗传算法（GA）进行了比较。

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