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OA

[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.