A large-scale charging pile and microgrid operation optimization strategy based on smart grid interaction technology

In today’s energy-scarce era, the promotion and use of electric vehicles has become an inevitable development trend. However, when a large number of different types of EVs are connected to the power grid at the same time, their disorderly charging and discharging will bring adverse effects to the system. Therefore, this paper proposes a scaled EV orderly scheduling model.The EV charging optimal scheduling algorithm is divided into two parts: charging demand simulation and orderly scheduling algorithm.Monte Carlo simulation method is used to simulate the charging demand based on charging probability modeling. According to the distribution parameters, Monte Carlo simulation is used to generate the EV cluster entry information of the community, and the parameter variables are preprocessed based on different charging preprocessing methods. Using two regulation and control strategies, two strategies are proposed for clean energy dispatch for grid-connected operation of microgrids and dispatch control based on EVs charging model, considering the load changes generated by different response behaviors of users, a microgrid operation optimization model is established, and the calculation of economic cost weights is proposed. The PSO is proposed to be improved, and the APSO algorithm is used to solve the model.The hourly average exchange loads of the APSO algorithm and the PSO algorithm are 2.7092 P/kW and 1.9979 P/kW, respectively, and the hourly average exchange loads of the APSO algorithm are better than those of the PSO algorithm. When the user responsiveness is in the range of 30%~80%, the operation and management cost of the microgrid and the cost of environmental pollution control are reduced accordingly to 28,618.439 yuan and 7,864.685 yuan, respectively.