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

机译:使用SFLA基于静态电压稳定性优化减载量的策略

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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:提出了一种模因元启发式算法,用于在紧急情况下考虑平等和不平等约束的情况下,优化系统所选负荷母线上的负荷分配。当用尽无功和有功功率控制变量的重新安排限制时,甩负荷被视为最后的防线。选择潮流最小雅可比值作为接近度指示器,以监视系统状态。负载母线根据接近指示器的灵敏度进行排序,并且为降低负载选择了灵敏度高的负载母线。使用随机蛙跳算法(SFLA),算法和CAPSO和梯度搜索(GS)技术对负载总线上要减轻的负载量(有功和无功负载)进行了优化。已在IEEE 30总线测试系统上实施了开发的方法。

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