Abstract
With the increase in renewable energy, improving the utilization rate of renewable energy is of great practical significance. The microgrid has been proved effective in addressing this issue. As a flexible load, electric vehicles are connected to the grid on a large scale, which will have an impact on the grid. In order to solve this problem, this paper proposes a microgrid energy management model for electric vehicle charging stations, which takes into account the economics of microgrid operation and the stability of grid operation. Subsequently, this paper proposes an evolutionary multiobjective optimization algorithm to deal with constraints. Finally, this paper verifies the effectiveness of the proposed model and algorithm through experiments.
Highlights
With the continuous development of the social economy, our demand for energy has greatly increased [1]. e traditional energy sources are mainly the combustion of fossil energy, such as thermal power generation and various equipment using gasoline as fuel, which have brought serious harm to the environment [2]
If a large number of electric vehicles are connected to the grid for disorderly charging, during the peak period of electricity consumption, especially in the summer and winter seasons, the demand for electricity will rise rapidly, which will bring huge challenges to the power supply capacity and power transmission [5]. ere are hidden dangers to electricity safety; in the low electricity consumption valley, such as late at night, the electricity consumption is less, and the electricity from the power station is nowhere to be used, resulting in a waste of renewable energy. erefore, reasonable arrangements for the orderly charging of electric vehicles are of great significance to maintaining the stability and safety of the grid operation
With the extensive development and use of renewable energy sources, a large number of new devices continue to emerge, which puts forward new requirements for microgrid energy management planning
Summary
With the continuous development of the social economy, our demand for energy has greatly increased [1]. e traditional energy sources are mainly the combustion of fossil energy, such as thermal power generation and various equipment using gasoline as fuel, which have brought serious harm to the environment [2]. A large number of electric vehicles connected to the grid will bring challenges to the stability and safety of grid operation [4]. E research on charging control of charging stations will play an important role in the rational use of renewable energy and alleviating the pressure on the power grid. Erefore, this article firstly models the electric vehicle charging station microgrid, fully taking into account the random arrival of electric vehicles, taking the economy of charging station microgrid operation, stabilizing the grid load, and enhancing the stability of grid operation as the optimization goals, and designing the multiobjective optimization algorithm solves the actual problem and verifies the correctness and effectiveness of the proposed model and algorithm through experiments.
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