Distributionally Robust Decentralized Volt-Var Control with Network Reconfiguration
IEEE Transactions on Smart Grid(2023)
摘要
This paper presents a decentralized volt-var optimization (VVO) and network
reconfiguration strategy to address the challenges arising from the growing
integration of distributed energy resources, particularly photovoltaic (PV)
generation units, in active distribution networks. To reconcile control
measures with different time resolutions and empower local control centers to
handle intermittency locally, the proposed approach leverages a two-stage
distributionally robust optimization; decisions on slow-responding control
measures and set points that link neighboring subnetworks are made in advance
while considering all plausible distributions of uncertain PV outputs. We
present a decomposition algorithm with an acceleration scheme for solving the
proposed model. Numerical experiments on the IEEE 123 bus distribution system
are given to demonstrate its outstanding out-of-sample performance and
computational efficiency, which suggests that the proposed method can
effectively localize uncertainty via risk-informed proactive timely decisions.
更多查看译文
关键词
Distributionally robust,active distribution networks,multi-timescale,network partition,decentralized,probabilistic forecast,coordinated voltage control
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要