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Strategy to optimize the load shedding amount based on static voltage stability using SFLA

机译:使用SFLA基于静电电压稳定性优化负载流脱落量的策略

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This paper proposes a memetic meta-heuristic algorithm for optimize load-shedding at selected load buses of the system under emergency condition accounting equality and inequality constraints. Load shedding is considered as the last line of defense when exhausting the limit of rescheduling of reactive and real power control variables. Minimum eigenvalue of load flow Jacobian is selected as a proximity indicator which monitors the status of the system. Load buses are ranked based on sensitivity of proximity indicator and load buses selected for load-shedding which has large sensitivity. The amount of load to be shed (active & reactive load) at load bus has been optimized using Shuffled Frog Leaping Algorithm (SFLA), algorithm & compared with CAPSO and Gradient Search (GS) techniques. Developed methodology has been implemented on IEEE 30-bus test system.
机译:本文提出了一种麦克解元 - 启发式算法,用于在紧急情况下,在紧急情况下,在系统的选定负载总线下优化负载脱落。装载脱落被视为在耗尽反应性和实际功率控制变量的重新安排的极限时被视为最后的防御。选择负载流动曲轴的最小特征值作为监视系统状态的接近指示器。负载总线根据接近指示器的灵敏度和为负载脱落而选择的负载总线进行排序,这具有较大的灵敏度。使用随机的青蛙跳跃算法(SFLA),算法和与Capso和梯度搜索(GS)技术进行了优化了负载总线的负载量(有源和反应负载)的量。开发方法已在IEEE 30-Bus测试系统上实现。

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