广东电力2026，Vol.39Issue(6)：73-86,14.DOI:10.3969/j.issn.1007-290X.2026.06.007
融合数据驱动的主配网分布式协同优化调度
Data-driven Distributed Coordinated Optimal Dispatch for Integrated Transmission and Distribution Networks
摘要
Abstract
With the large-scale integration of renewable energy into power grids,the uncertainty of power output poses new challenges to grid dispatch operations,intensifying the demand for coordinated optimization between the main grid and the distribution networks.To address the challenges of incomplete topological information in the distribution network and the limitations of conventional centralized optimization approaches,this paper proposes a distributed collaborative optimization strategy for the main grid and the distribution networks that integrate data-driven techniques and the analytical target cascading(ATC)method.Firstly,a power flow model based on data-driven approach is developed for the distribution network to explore implicit correlations between nodal voltages and power injections and overcome the restrictions of topological information missing.Subsequently,an ATC-based bi-level coordination framework is designed,the alternating correction mechanism for boundary parameters is used to decompose the global optimization dispatch model and the fitting result of power flow is embedded.Numerical experiments on an integrated grid composed of the IEEE 118 node transmission system and multiple IEEE 33 node distribution systems validate the effectiveness of the proposed method in distributed coordinated dispatch for transmission and distribution networks.关键词
主配协同/优化调度/目标级联法/数据驱动Key words
transmission and distribution network coordination/optimal dispatch/analytical target cascading/data-driven分类
信息技术与安全科学引用本文复制引用
俞晓峰,齐瑾,罗日欣,董凯元,刘业琦,谢敏..融合数据驱动的主配网分布式协同优化调度[J].广东电力,2026,39(6):73-86,14.基金项目
广东省基础与应用基础研究基金面上项目(2022A1515240074) （2022A1515240074）
广东电网有限责任公司河源供电局科技项目(GDKJXM20230341) （GDKJXM20230341）
