高速公路服务区光储充直柔一体化微电网中多主体互动的能量管理研究OA

There are problems such as large fluctuations in electricity load,insufficient capacity for renewable energy consumption,and difficulties in multi-agent collaborative optimization in highway service areas.Therefore,it is necessary to study the energy management of multi-agent interaction in the PV-storage-charging-DC-flexible integrated microgrid in highway service areas.This paper first introduces the overall architecture and operation mode of the PV-storage-charging-DC-flexible integrated microgrid in highway service areas.In response to the problem of multi-agent interaction energy management,a dynamic contract electricity pricing strategy is proposed.Then,a mathematical model of the integrated microgrid is constructed,and a two-stage collaborative optimization model is established based on the Stackelberg model.Finally,through simulation,the electricity consumption,economy,and PV power consumption performance of the highway service area after adopting the integrated microgrid are analyzed.The research results show that:1)The architecture of the PV-storage-charging-DC-flexible integrated microgrid is reasonable and can meet the energy supply and consumption needs of highway service areas.2)The proposed dynamic contract electricity pricing strategy includes four operating modes:nighttime charging mode,self-consumption with surplus power fed into the grid mode for PV power generation,charging and supply mode during peak hours,and multi-agent interaction mode,which can adapt to the energy supply and demand characteristics of different periods and achieve optimized energy allocation.And this strategy can adjust electricity prices based on real-time conditions,thereby incentivizing charging stations to prioritize purchasing local PV power and energy storage systems,improving renewable energy utilization efficiency.3)The two-stage collaborative optimization model established can maximize the interests of both the highway service area and the charging station.The multi-agent interaction mode can accurately quantify the benefits and costs of each subject,providing a reliable quantitative basis for optimizing energy management.4)The mechanism of"electricity purchase ratio-PV power consumption binding"effectively improves the PV power consumption rate,and in sunny weather scenarios,the PV power consumption rate is 98.5%.Compared with the TOU strategy,the proposed dynamic contract pricing strategy increased the daily net profit of the entire microgrid by 21.7%,and reduced the peak load of the grid to 287.4 kW,verifying its superiority in terms of economy,renewable energy utilization efficiency,and grid support capacity.The research results provide a feasible solution for the energy collaborative management of the PV-storage-charging-DC-flexible integrated microgrid for traffic nodes in highway service areas.