光储园区容量配置及多主体收益分配策略OA

Photovoltaic and energy storage(PV-ES)parks,as crucial applications in energy transition,not only bring significant electricity cost savings to parks but also create new opportunities for market trading revenue.A bi-level optimization framework was proposed for capacity configuration.The upper level determined optimal PV and storage investment capacity by maximizing total park revenue,while the lower level introduced seasonal-temporal power limit mechanisms to achieve refined storage management and support operational efficiency for upper-level capacity decisions.For revenue distribution,theoretical fair returns between stakeholders were determined using the Shapley value.Meanwhile,investment and revenue marginal balances were introduced to achieve dynamic feedback between revenue distribution and investment decisions.Market-based distribution mechanisms were implemented through an internal electricity pricing design.While ensuring fair revenue distribution,this approach maintained optimal park capacity configuration.Case study results verified the effectiveness of the proposed closed-loop optimization framework,as it successfully achieved the coordinated optimization of capacity configuration,collaborative operation,and revenue distribution,and effectively solved the coupling dependency problems among multiple stakeholders in PV-ES parks,thereby offering a systematic scheme that integrates theoretical basis with practical value to address the core challenges of their collaborative development.