电力系统自动化2026，Vol.50Issue(18)：44-56,13.DOI:10.7500/AEPS20251230007
面向阻塞管理的多聚合商-配电网分布式运行优化策略
Distributed Operation Optimization Strategy for Congestion Management in Distribution Networks with Multiple Aggregators
摘要
Abstract
Distribution networks with the participation of distributed resource aggregators(DRAs)are confronted with problems including insufficient proactivity in congestion management and low efficiency of cross-entity coordination,which necessitates development of a rapid dispatch approach for multi-entity collaboration.To address this issue,this paper constructs a day-ahead and intra-day two-stage coordinated scheduling framework.In the day-ahead stage,this paper conducts differentiated modeling for DRAs.It introduces the asynchronous parallel alternating direction method of multipliers(ADMM).This method achieves a rapid solution while protecting the privacy of all parties through the limited interaction of boundary power and price signals.In the intra-day stage,this paper proposes an event-driven rolling optimization strategy.It designs a congestion relief correction price that incentivizes and guides DRAs to dynamically adjust the exchanged power.When necessary,it achieves congestion elimination through minimum load shedding.Case studies demonstrate that the proposed two-stage coordinated management method significantly enhances the capability of rapidly eliminating distribution network congestion.The asynchronous parallel ADMM reduces the computation time by 82.1%compared with the conventional synchronous parallel scheme,which verifies the feasibility and superiority of the proposed method.关键词
配电网/阻塞管理/分布式资源聚合商/协同调度/分布式优化/事件驱动/交替方向乘子法Key words
distribution network/congestion management/distributed resource aggregators(DRA)/coordinated scheduling/distributed optimization/event-driven/alternating direction method of multipliers引用本文复制引用
董永乐,王小君,司方远,王希豪,葛路琨,王智爽..面向阻塞管理的多聚合商-配电网分布式运行优化策略[J].电力系统自动化,2026,50(18):44-56,13.基金项目
智能电网国家科技重大专项(2030)资助项目(2024ZD08008 01) （2030）
国家电网有限公司总部科技项目:"低碳高可靠城市配电系统示范工程"(SGTJDK00DWJS2400298). This work is supported by Smart Grid-National Science and Technology Major Project(No.2024ZD0800801)and State Grid Corporation of China:"Low-carbon and Reliable Urban Power Distribution System:Demonstration Project"(No.SGTJDK00DWJS2400298). （SGTJDK00DWJS2400298）
