晁婉萌, 刘灏, 毕天姝, et al. An Optimal PMU Allocation Method for Distribution Networks Under Considering N-1 Fault Reconfiguration[J]. 2026, 46(2): 569-581.
DOI:
晁婉萌, 刘灏, 毕天姝, et al. An Optimal PMU Allocation Method for Distribution Networks Under Considering N-1 Fault Reconfiguration[J]. 2026, 46(2): 569-581. DOI: 10.13334/j.0258-8013.pcsee.241795.
An Optimal PMU Allocation Method for Distribution Networks Under Considering N-1 Fault Reconfiguration
含大规模分布式光伏与柔性负荷的新型配电网运行方式愈发复杂,配电网同步测量装置(synchrophasor measurement unit for distribution network,D-PMU)优化配置可为其协同调度控制提供有效的同步测量数据。然而,在配电网发生N-1故障并进行重构后,原有的配置方案难以满足调度控制需求。因此,提出一种考虑N-1故障重构下的D-PMU优化配置方法。首先,提出计及配电网重构的节点电压损失和网络拓扑结构的节点脆弱程度指标,划分节点权重;为保证故障重构后配电网可观,提出考虑N-1故障重构的D-PMU优化配置模型,基于配电网重构获取了网络拓扑结构,建立N-1故障重构下的可观测约束,并考虑D-PMU通道数量有限以及数据监控与采集系统(supervisory control and data acquisition,SCADA)和高级量测系统(advanced measurement infrastructure,AMI)量测信息对所提模型的影响;建立D-PMU统一优化配置模型,充分考虑经济性、正常情况下的全网可观、零注入节点、N-1故障重构可观、D-PMU通道的限制和已存在的传统量测;进一步,利用IEEE 33和IEEE 69节点系统验证该方法的可行性和有效性。
Abstract
The operation of new distribution networks incorporating large-scale photovoltaic systems and flexible loads are becoming increasingly complex. The optimal configuration of synchrophasor measurement unit for distribution network (D-PMUs) can provide effective synchronized measurement data for coordinated scheduling and control. However
when the distribution network experiences an N-1 contingency and undergoes reconfiguration
the original configuration scheme may fail to meet the requirements of scheduling and control. Therefore
an D-PMU configuration optimization method considering N-1 contingency reconfiguration is proposed. This method introduces a node vulnerability index that accounts for node voltage loss and network topology. To ensure the observability of the distribution network after fault reconfiguration
an D-PMU configuration optimization model considering N-1 contingency reconfiguration is proposed. The network topology is acquired through distribution network reconfiguration. Observability constraints under N-1 fault conditions are established
taking into account the impact of limited D-PMU channels. The model also incorporates measurement information from supervisory control and data acquisition (SCADA) systems and advanced measurement infrastructure (AMI). Furthermore
a unified D-PMU configuration optimization model is established with comprehensive consideration of economic efficiency
full-network observability under normal conditions
zero-injection nodes
observability under N-1 contingency reconfiguration
D-PMU channel limitations
and existing traditional measurements. The feasibility and effectiveness of the proposed method are verified by using the IEEE 33-node and IEEE 69-node test systems.