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模型-数据联合驱动的主动配电网多资源日前-日内两阶段协调控制策略

易文飞 朱卫平 李子杰 刘庆 杨浩 蔡国伟

电力建设2026,Vol.47Issue(7):69-89,21.
电力建设2026,Vol.47Issue(7):69-89,21.DOI:10.12204/j.issn.1000-7229.2026.07.006

模型-数据联合驱动的主动配电网多资源日前-日内两阶段协调控制策略

Model-Data Hybrid Driven Two-Stage Day-Ahead and Intra-Day Coordinated Control Strategy for Multi-Resource in Active Distribution Network

易文飞 1朱卫平 1李子杰 2刘庆 2杨浩 2蔡国伟2

作者信息

  • 1. 国网江苏省电力有限公司,南京市 210000
  • 2. 现代电力系统仿真与绿色电能新技术教育部重点实验室(东北电力大学),吉林省 吉林市 132012
  • 折叠

摘要

Abstract

[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.

关键词

模型-数据联合/运行成本/电压越限控制/网损优化/电压控制器/集中-分散结合

Key words

model-data hybrid/operating cost/voltage violation control/power loss optimization/voltage controller/centralized-decentralized coordination

分类

信息技术与安全科学

引用本文复制引用

易文飞,朱卫平,李子杰,刘庆,杨浩,蔡国伟..模型-数据联合驱动的主动配电网多资源日前-日内两阶段协调控制策略[J].电力建设,2026,47(7):69-89,21.

基金项目

国网江苏省电力有限公司科技项目(J2024162) This work is supported by Science and Technology Project of State Grid Jiangsu Electric Power Co.,Ltd.(No.J2024162). (J2024162)

电力建设

1000-7229

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