故障驱动切负荷和轨迹驱动切负荷的协调优化

Optimization and Coordination of Fault-driven Load Shedding and Trajectory-driven Load Shedding

切负荷(LS)控制既可由故障驱动(即紧急LS),也可由轨迹驱动(即校正LS),大量不确定因素突出了它们之间协调的重要性。按照解耦优化-聚合协调的框架,用稳定性量化软件FASTEST分析不确定因素下的稳定性,分别优化故障驱动的LS及轨迹驱动的LS,在优化其中之一时,将另一个最新迭代结果作为仿真的外部场景,迭代到预想故障集的风险总代价不再明显减小为止。考虑某实际系统的预想故障、负荷模型和负荷水平等不确定因素,仿真证实该协调优化方法在保证系统稳定性的前提下,显著减少了控制的风险。

Load shedding can be driven by either faults （emergency load shedding） or trajectories （corrective load shedding）. To deal with many non-deterministic factors, it is important to coordinate them. According to a decoupling optimization and global coordination framework, power system stability and security are analyzed with FASTEST software package considering the non-deterministic factors, and then fault-driven load shedding and trajectory-driven load shedding are optimized respectively and interactively. During the course of optimizing one of them, the newest results of another are taken as constrained scenarios. Iteration is conducted until the total risk of all assumed faults is not reduced obviously. With consideration of the non- deterministic factors of the assumed faults, load model and load level, simulation studies undertaken on a power system show that the optimal coordinative load shedding scheme reduces the risk cost obviously with a premise of maintaining stability and security of the power system.