Performance optimization and evaluation of V2G in regulated and deregulated microgrid
In this paper, an economic dispatch model with probabilistic modeling is developed for regulated microgrid. Due to the fluctuation of solar and wind plants' output, an empirical probabilistic model is applied to predict their hourly output. According to distinctive characteristics of wind and solar plants, the parameters for probabilistic distribution are further adjusted individually for both type of power plants. On the other hand, with the growing trend of Plug-in Electric Vehicle (PEV), an integrated microgrid system must also consider the impact of PEVs. Not only the charging loads from PEVs, but also the discharging output via Vehicle to Grid (V2G) method can greatly affect the economic dispatch for all the micro energy sources in microgrid. Firstly, this paper presents an optimization method for economic dispatch in regulated microgrid. Simulation is also performed to evaluate the performance of V2G in deregulated energy trading market. In this case, the trading market is considered as a noncooperative game. The simulation results in both cases reveal that PEVs with V2G capability can be an indispensable supplement in modern microgrid.