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Model-Data Hybrid Driven Two-Stage Day-Ahead and Intra-Day Coordinated Control Strategy for Multi-Resource in Active Distribution Network
YI Wenfei, ZHU Weiping, LI Zijie, LIU Qing, YANG Hao, CAI Guowei
Electric Power Construction ›› 2026, Vol. 47 ›› Issue (7) : 69-89.
PDF(19900 KB)
PDF(19900 KB)
Model-Data Hybrid Driven Two-Stage Day-Ahead and Intra-Day Coordinated Control Strategy for Multi-Resource in Active Distribution Network
[Objective] To address the increased operational costs and voltage violation risks in distribution networks caused by high-penetration distributed photovoltaic integration， a two-stage day-ahead and intra-day operational cost optimization and voltage violation control method for active distribution networks is proposed， combining model-driven and data-driven approaches with centralized and decentralized coordination. [Methods] The first stage is a model-driven day-ahead active-reactive power coordinated optimization. A minimum operational cost model incorporating voltage security constraints is established to coordinate adjustable resources including sources， networks， loads， and energy storage systems， thereby optimizing operational costs while enhancing hourly voltage security. The second stage is a data-driven real-time voltage/var decentralized control. Based on day-ahead power forecasts， multiple operating scenarios reflecting minute-level power fluctuations are generated. A voltage regulation training dataset for photovoltaic （PV） and battery energy storage system （BESS） units is constructed through power flow and reactive power loss optimization calculations. Knowledge-embedded adaptive network based fuzzy inference system based voltage controllers are designed for PV and BESS units and trained using the dataset to incorporate global network loss optimization. Each controller adaptively determines the optimal reactive power output using local real-time voltage and power measurements， collectively achieving real-time voltage violation correction and system loss optimization. [Results] Simulation comparisons with multiple control methods demonstrate that the proposed two-stage method effectively reduces system operational costs and significantly mitigates real-time voltage violations， outperforming traditional methods in both operational economy and voltage security control. [Conclusions] The control architecture integrating model-driven and data-driven approaches， along with centralized coordination and decentralized control， can fully exploit the regulation potential of sources， networks， loads， and storage systems， thereby enhancing the operational economy and voltage security of distribution networks with high-proportion distributed photovoltaic integration.
model-data hybrid / operating cost / voltage violation control / power loss optimization / voltage controller / centralized-decentralized coordination
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利益冲突声明（Conflict of Interests）： 所有作者声明不存在利益冲突。
作者贡献声明（Authors' Contributions）： 易文飞提出概念、基本框架、研究方向并设计论文框架；朱卫平设计研究思路、研究方案，进行研究方案可行性调查分析并实施研究过程；李子杰进行实验、文献调研与整理；刘庆确定研究对象范围，收集、采集、清洗与分析数据；杨浩承担技术开发、绘制图谱，蔡国伟参与提出关键科学问题，起草论文，修订论文，审核论文，完成论文最终版本修订。所有作者均阅读并同意了论文终稿内容。
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