Research On Impact Of Electric Vehicle Plugging-In Microgrid

With the continuous development and progress of human society, thepressure of Energy shortage and environmental pollution are under increasingpressure. Effective tools are provided to solve these problems in thedevelopment, due to the emergence of electric vehicles and renew energypower generations. Because of uncertainty of EV s charging and discharging intime and space, the plug-in of a large number of EVs will have influence on theoperation of the grid. In addition, coupled with the increasing number of renewenergy plugging in the gird, how to minimize the influence of the randomnessand volatility of the output, has become the primary solution of renew energyon a large scale using. It is significant in improving the operation of the grid inreliability and economy, and enhancing the ability of power grid to accept newenergy, to build the model of charging power consumption of EVs and toconduct the user with appropriate strategies or controlled charging strategies.This paper builds the model of EV s charging based on analyzing thefactors of charging, puts forward a kind of concept scheduling mechanism forEVs charging and discharging on demand side management, proposescoordination scheduling strategy between EV s and renew energy, and themodel of coordination scheduling between EV s and renew energy based onexpectations.1. Considered with the factors of time of starting charging, mileage ofdaily driving, charging power and so on, the model of EV s charging is built,and And research on the effects caused by a large number of EVs chargingwith Monte Carlo method.2. In this part, a microgrid model is built containing wind power, solarpower and batteries, and effects caused by a large number of EVs charging arediscussed. By varying the electric vehicle charging time, the conclusion isobtained that EVs plug-in can reduce the number of micro power grid energystorage equipment.3. The related concepts of demand side management are introduced, andthe importance of peak load shifting in system operation is analyzed. It is alsotheoretically proved that peak load shifting in reducing the loss of system inoperation. Finally, from two levels of grid technology management and marketoperation, a kind of concept scheduling mechanism for EVs charging anddischarging on demand side management is put forward, which provides thetechnical and management support for a large number of EVs plugging-in themicrogrid.4. Considering the randomness and volatility of renew energy, acoordination scheduling strategy containing EV s and renew energy is formulated, and a model of coordination scheduling between EV s and renewenergy based on expectations is built. Using the genetic algorithm based onMonte Carlo stochastic simulation to solve the optimization model, the resultshows, in coordination scheduling mode, EVs plugging-in can improve theacceptance ability of renew energy in microgrid, enhance the utilization ofrenewable energy, and reduce the capacity of storage for the excess output ofrenew energy.