计及故障重构的配电网量测系统鲁棒性配置

Robust Measurement Placement Method for Distribution Systems Considering Fault Reconfiguration

针对网络重构对配电网状态估计精度的影响,在分析量测饱和特性的基础上,提出了一种量测系统的鲁棒性配置方法。该方法综合考虑不同故障重构后的多种网络结构,利用马尔可夫链确定其运行概率,并作为权重引入鲁棒性量测配置的数学模型中,利用蒙特卡洛算法模拟量测系统引起的误差。IEEE 33节点配电系统和美国PG&E 69节点配电系统的仿真结果表明,所提出的鲁棒性配置方法可兼顾多种网络结构,并有效提高配电网状态估计的精度。

In light of the influence of network reconfiguration on the state estimation of distribution system , a robust measurement placement method based on measurement saturation analysis is proposed . First , the operation probabilities of various network structures after fault reconfigurations are computed by the Markov chain . Then the probabilities are introduced as weights into the robust measurement placement model and the errors caused by the measurements are simulated using Monte Carlo algorithm . Simulation results of IEEE 33‐bus and PG＆ E 69‐bus distribution systems show that the robust method is suitable for different network structures , while significantly improving the precision of state estimation .