Dynamic Price Optimization Strategy for Charging Power Station with Electric Vehicles

Reasonable price strategy is of great significance to the safe and economic operation of a microgrid. To reduce the power exchange fluctuation between the main grid and a microgrid and to enhance the profit of a microgrid, a dynamic price strategy based on modified particle swarm optimization (PSO) is proposed. Then, a multi-objective optimization model considering the income of a microgrid and load fluctuation of distribution network is presented. To validate the proposed price strategy and the optimization model, a series of numerical simulations are conducted to demonstrate their effect on the power exchange fluctuation and the profit of the microgrid. The result shows that the proposed dynamic price strategy markedly increases the profit of the microgrid and strengthen the effect on power peak shaving and valley filling compared with time-of-use(TOU) price strategy and the fixed electricity price strategy.