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Hierarchical Generation Rescheduling And Robust Load Shedding Scheme Considering The Uncertainty Of Distributed Generators

机译:考虑分布式发电机不确定性的分级发电调度和鲁棒减载方案

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Load shedding is the last resort to prevent power system collapse. When commutation failure occurs in HVDC converter station, the receiving system will meet huge power shortage. To maintain the stability of receiving power system, this paper proposes a load shedding scheme with hierarchical control structure, in which the distribution networks are divided into several control areas. Inappropriate load shedding strategies may lead to consequential DG outage caused by voltage violation. For each area, a two stage robust load shedding optimization model considering voltage constraints is developed, which can capture the uncertainties of load demand and distributed generators output. Since AC load flow with voltage constraints is incorporated in this optimization model, the voltage violations can be eliminated during load shedding. Furthermore, to accurately simulate the impact of external network of each control area, the Thevenin equivalent model is formulated and its parameters are estimated using local measurements. In this two stage model, the first stage generates the optimal control decision and the second stage seeks the worst-case fluctuation scenarios. The model is formulated as a mixed integer linear programming (MILP) and solved by column-and-constraint generation method. Numerical experiments demonstrate the efficiency of the proposed method.
机译:减载是防止电力系统崩溃的最后手段。当高压直流换流站发生换向故障时,接收系统将面临巨大的电力短缺。为了保持受电系统的稳定性,提出了一种分层控制结构的减载方案,该方案将配电网划分为多个控制区域。不适当的减载策略可能会因电压违规而导致DG断电。针对每个区域,建立了一个考虑电压约束的两阶段鲁棒减载优化模型,该模型可以捕获负载需求和分布式发电机输出的不确定性。由于具有电压约束的交流潮流被包含在该优化模型中,因此可以在甩负荷过程中消除违反电压的情况。此外,为了准确模拟每个控制区域的外部网络的影响,制定了戴维宁等效模型,并使用局部测量值估算了其参数。在此两阶段模型中,第一阶段生成最佳控制决策,第二阶段寻找最坏情况的波动情况。该模型被公式化为混合整数线性规划(MILP),并通过列和约束生成方法进行求解。数值实验证明了该方法的有效性。

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