基于运行优化的含储能电力系统可靠性评估方法

A Reliability Evaluation Method for Power System with Energy Storage Based on Operation Optimization

针对传统可靠性评估方法容易导致停电损失的问题,提出基于运行优化的含储能的电力系统可靠性评估方法。首先,根据分布式电源出力建立概率模型,并在峰谷电价机制下,建立受利益驱动影响的储能概率模型;然后,根据故障类型细化故障隔离范围,对非故障隔离区域进行孤岛划分和功率匹配,减少停电损失;最后,提出了基于序贯蒙特卡罗的可靠性评估方法,通过仿真验证了该方法的有效性。

In view of the problem that the traditional reliability evaluation method often leads to outage loss of power system, a new reliability evaluation method is proposed for power system with energy storage based on operation optimization. Firstly, a probabilistic model is established according to distributed generation output, and a profit-driven energy storage probability model is established under the peak-valley price mechanism. Secondly, the fault isolation range is refined according to fault types, and the non-fault isolation area is islanded and power matched through network reconfiguration to minimize power outage losses. Finally, a sequential Monte Carlo based reliability evaluation method is proposed. The effectiveness of method is verified through simulation.