Optimal Allocation Model of Virtual Power Plant Capacity considering Electric Vehicles

Table 1

Comparison of research results.

Aspects of comparison	Research situation of other papers	Research situation of this paper	Analysis of comparison
Research on electric vehicle access to virtual power plant	Research on the optimal scheduling strategy of the commercial virtual power plant with electric vehicle charging stations: the optimal operation of the virtual power plant is based on the optimization of the economic benefits of the virtual power plant.; Virtual power plants composed of wind power and electric vehicles participate in the multiagent game of the market: this paper studies the multiagent bidding optimization of virtual power plants composed of wind power companies and electric vehicles in the mode of cooperation and joint venture to participate in the power market.; Collaborative optimization control strategy of electric vehicle and temperature control load virtual power plant: the collaborative optimization control strategy of electric vehicle and temperature control load is constructed with the goal of minimum economic control cost.	In this paper, the economic and environmental protection of virtual power plant are considered at the same time, and the net income maximization and the highest clean energy consumption rate are taken as multiobjective to configure each unit of virtual power plant.	Through the study of this paper and other paper, we can find that (1) other papers mainly focus on the optimal scheduling of electric vehicles connected to the virtual power plant and participating in market bidding, while this paper focuses on the optimal configuration of electric vehicles connected to the virtual power plant. (2) most papers only consider the economy of virtual power plant, but in the case of increasingly serious environmental pollution, the environmental protection of virtual power plant also needs to be considered.
Research on capacity allocation	Literature 8, 15, 16, 17, 18, and 19: the integrated energy system as the main body of optimal allocation.	This paper focuses on the optimal configuration of electric vehicles connected to virtual power plant.	Through comparative analysis, it is concluded that the existing research focuses on the optimal allocation of the integrated energy system, but does not involve electric vehicles, and does not quantitatively analyze the impact of the scale of electric vehicles on a certain system.
Research aspects of uncertainty in systems	Literature 6, 7, and 25: the uncertainty of electricity price in wind power, photovoltaic, and market is studied.	This paper not only analyzes the uncertainty of the source end and load end of the virtual power plant but also considers the uncertainty of the investment decision of the virtual power plant investors.	On the basis of the existing uncertainty research, the uncertainty of investment of virtual power plant investors is increased.