Research On Power Planning Model For Distribution Network With Large-scale V2G And Energy Storage Charging Stations Complementary

Carbon emissions are one of the urgent environmental issues that need to be addressed by countries worldwide.To achieve its dual carbon goals,China has undertaken a series of green and low-carbon transformation measures,mainly in the energy and power industry.In recent years,the proportion of installed renewable energy units has been increasing,and the scale of electric vehicles has been expanding.However,the fluctuation of power generation from renewable energy sources and the uncertainty of charging load from electric vehicles have an undeniable impact on the stability of the power system.From a planning perspective,it is necessary to carry out a reasonable and effective power source planning to achieve the lowcarbonization and long-term stable operation of the power system.Currently,existing power source planning models rarely consider the synergistic effect of large-scale Vehicle-to-Grid(V2G)and energy storage systems.In this article,a low-carbon optimization model for power sources considering the vehicle-to-station(V2S)energy storage system is constructed on the basis of traditional wind and solar power source planning models,incorporating V2G and energy storage charging station systems.The effectiveness of the model is verified through comparative analysis of case scenarios.Firstly,the article reviews and summarizes the relevant theories of power supply planning,distributed energy storage systems,and multi-objective decision optimization.Secondly,based on the analysis of daily driving and charging behaviors of different types of electric vehicles,combined with the road structure model and OD origin-destination probability matrix,a scalable model for the spatial and temporal distribution of electric vehicle charging loads is constructed,and the spatial and temporal distribution results of charging loads in the case study area are obtained.Furthermore,the operational control strategies for vehicle-to-grid(V2G)and energy storage systems are analyzed,and simulations and scenario reduction for wind and solar power output scenarios are conducted to construct a power supply planning model for distribution networks considering the complementary interaction between vehicles and charging stations in the context of large-scale V2G.Finally,the road structure model and IEEE33 node system correlation model are selected as case studies,and planning analysis is carried out using the developed model,taking into account V2G scale and seasonal factors.The results show that the total cost and carbon emissions of the planning period in the case study area will decrease with the increase in the proportion of electric vehicles participating in V2G.The number of energy storage charging stations will increase significantly with the expansion of V2G scale.The V2S energy storage system performs better in providing peak shaving services in spring and autumn but worse in summer and winter,but overall,it improves the consumption of wind and solar power generation.Based on the results of the case study,the planning model constructed in this article can help achieve low-carbon power generation on the power source side and a smooth transition in the reform process on the grid side,providing a feasible research approach to alleviate the development contradictions on both sides.