Research on Collaborative Interaction between EV and PPG Based on BreedPSO

摘要

The large-scale development of electric vehicles and the increase in the proportion of renewable energy power generation are effective ways for our country to transform its low-carbon economic development model. In this paper, from the perspective of synergy between large-scale electric vehicles and renewable energy power generation, comprehensively considering the characteristics of the randomness of electric vehicle loads and the intermittency of renewable energy, the two cooperative interaction technologies are studied. The electric vehicle (EV)-photovoltaic power generation (PPG) collaborative interactive dynamic programming model is optimized using hybrid particle swarm optimization algorithm (BreedPSO). Finally, the data of a certain Shanghai area are simulated and analyzed. The results show that the access of electric vehicles can effectively suppress grid load fluctuations and reduce the system load variance.