Liu Zixuan, Wu Jun, Zhu Ruijin, Kong Dewen, Guo Hao
Water Conservancy Project & Civil Engineering College, Tibet Agriculture & Animal Husbandry University, Linzhi, 860000, China.
Research Center of Civil, Hydraulic and Power Engineering of Xizang, Tibet Agriculture & Animal Husbandry University, Linzhi, 860000, China.
Sci Rep. 2025 Jan 3;15(1):612. doi: 10.1038/s41598-024-80397-z.
The paper addresses the economic operation optimization problem of photovoltaic charging-swapping-storage integrated stations (PCSSIS) in high-penetration distribution networks. It proposes a dual-layer optimization scheduling model for PCSSIS clusters and distribution network systems. Firstly, a master-slave game model is constructed. The upper layer takes the high-penetration distribution network as the decision-making entity and aims to maximize its own revenue while considering the energy trading of PCSSIS. The lower layer takes PCSSIS as the decision-making entity, and PCSSIS adjusts energy flow and optimizes revenue based on the internal electricity price provided by the upper-layer distribution network. Secondly, the differential evolution algorithm and GUROBI solver are used to solve for the maximum revenue, internal electricity price, and electricity consumption of PCSSIS and the distribution network. Finally, the effectiveness of the proposed strategy is verified through case studies and simulations.
本文研究了高渗透率配电网中光伏充换储一体化站（PCSSIS）的经济运行优化问题。提出了一种PCSSIS集群与配电网系统的双层优化调度模型。首先，构建主从博弈模型。上层以高渗透率配电网为决策主体，在考虑PCSSIS能量交易的同时，旨在实现自身收益最大化。下层以PCSSIS为决策主体，PCSSIS根据上层配电网提供的内部电价调整能量流并优化收益。其次，采用差分进化算法和GUROBI求解器求解PCSSIS和配电网的最大收益、内部电价及用电量。最后，通过案例研究和仿真验证了所提策略的有效性。
