Optimal Operation Method of Multiple Virtual Power Plants Considering Shared Energy Storage Capacity Allocation
Due to the intermittent and fluctuating characteristics of distributed energy,its large-scale connection to the grid will have certain impact on system stability.In this context,in order to reduce the cost of electricity on the customer side and improve the capacity of new energy consumption,this paper proposes a two-level game model for the planning and operation of shared energy storage system to promote scenery consumption in the context of multivirtual power plants.In the upper-level model,the investment and operation cost of shared energy storage power plant is converted to equal annual value,and the model is established with the lowest total cost of shared energy storage and the longest possible service life as the objective function.In the lower model,the operation optimization model is established with minimizing the operating cost of the virtual power plant and the abandoned wind and light as the objective function.The capacity allocation,charging and discharging behavior of the shared energy storage plant and the operation status of the virtual plant are solved by combining the whale algorithm with the CPLEX commercial solver.The final calculation has verified the economy and effectiveness of the proposed scheme in operation by comparing three scenarios.The results show that the proposed method can optimize the optimal configuration of capacity and charging/discharging strategy of shared energy storage plant,improve the capacity of renewable energy consumption and the operating efficiency of the virtual power plant system,take into account the interests of the supply side and the demand side,and make the distribution of electric energy fairer and more reasonable.
virtual power plantshared energy storagetwo-layer optimization modelwind power and photovoltaic power consumption
NETL
NSTL
万方数据
维普
