Reliability optimization of distribution network based on the interaction between electric vehicles and distributed generations

Abstract

China's development of electric vehicles (EV) and distributed generations (DG) are conducive to getting rid of dependence on fossil fuels and realizing energy transition. However, the time scale between electric automobile charging load and distributed generator supply is difficult to keep consistent. Which will reduce the power supply reliability of the distribution network. This article presents innovation method to improve distribution network reliability use the interaction between electric automobiles and distributed generators. First, by analyzing the output characteristics of distributed generator, the intermittent power generation model of distributed generator is established; secondly, the charging habits of electric automobile owners are studied. The stochastic charging model of electric automobile is constructed; then based on the coupling relationship between electric automobile charging and distributed generator the establishment The power supply and demand balance model of electric automobile and distributed generator is developed; Finally, the IEEE-RBTS Bus-6 system is used for simulation, and the sequential Monte Carlo evaluation method is used to calculate the reliability indexes of the distribution network with different interactive response rates. According to the simulation results, the interaction between electric vehicle and distributed generator can effectively improve the reliability of distribution network.