考虑时间尺度的配电网故障恢复方法研究
RESEARCH ON FAULT RECOVERY METHOD CONSIDERING TIME SCALE FOR DISTRIBUTION NETWORK
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摘要: 配电网发生大面积停电故障,可用分布式电源(distributed generators,DGs)恢复失电区内重要负荷供电。当故障持续时间较长时,光照强度、风速和负荷需求会随时间发生变化。为保证故障期间已恢复的负荷持续供电,将光伏、风力机与储能系统(energy storage systems,ESS)相结合,利用ESS充放电来保证分布式电源出力与负荷需求相匹配,建立以恢复负荷经济价值最大为目标的配电网混合整数线性规划模型。仿真结果表明:光照、风速和负荷时变性会对配电网故障恢复产生重要影响。ESS在平抑电源输出满足负荷需求方面起到了重要作用。该模型可准确、快速地获得配电网故障恢复最优策略。Abstract: Distributed generators(DGs)can be used to restore the critical loads when out-of-service areas occur in the distribution network. When the duration of the fault is longer,the light,wind speed and load demand will change with time. In order to ensure the continuous service of the load during the fault,the PV,Wind and energy storage systems(ESS)are combined,and the ESS charge and discharge ensured that the distributed power output matches the load demand. A mixed integer linear programming model for distribution network with the goal of restoring the economic value of load is established. The simulation results show that the uncertainty of illumination,wind speed and load will have an important impact on the service restoration of distribution network. The ESS plays an important role in stabilizing the power supply output to meet the load requirements. The model can accurately and quickly obtain the optimal strategy for service restoration in distribution networks.