Coordinate optimization for grid-connected microgrid considering uncertainties of renewable energy sources and electric vehicles

摘要

The output of solar and wind energy has the characteristics of uncontrollable and volatile, and electric vehicles (EVs) also have a high randomness, the randomness of both greatly increases the difficulty of power grid control. In this paper, the wind turbine (WT) output is processed by point estimation method, the output of the two border scenarios is obtained, while the three typical weather scenarios of the photovoltaic (PV) output and the randomness of EVs are considered. On this basis, the microgrid optimal operation model is built with the goal of minimizing the running cost of the system, considering the interests of the power supply side and the demand side, for the grid-connected microgrid with EVs and high permeability WT and PV. In the case study, the optimization results under different energy storage capacity allocation and number of accessed EVs are analyzed. The results show that the EVs with a certain travel pattern has a good synergistic effect with the renewable energy, which can reduce the operating cost of the system and increase the utilization rate of renewable energy effectively.