As energy and environmental issues have become an issue that cannot be ignored in the process of social development,the popularization and use of microgrids and electric vehicles have become an important p art of today’s electric energy layout.Both the renewable energy and user load in the microgrid will have a certain degree of volatility and randomness due to the influence of environmental factors,which increases the difficulty of electric energy dispatc hing in the microgrid.At the same time,as the scale of electric vehicles continues to increase,the impact of electric vehicle charging and discharging on the power grid will not be ignored.How to combine the charging and discharging characteristics of electric vehicles with the random clean energy of the microgrid to form a good advantage Complementarity makes the microgrid and electric vehicle users consume renewable energy and reduce the peak-to-valley difference of the net load curve while ensuring t heir own economy has become the main issue of today’s research.Among the above problems,how to solve the randomness of output and load in the microgrid,as well as the electric energy interaction mode and scheduling method between the microgrid and electric vehicle users on this basis are the research contents worth discussing.Through analysis predicts micro power grid in this thesis,the stochastic model of wind power,photovoltaic power and load,and the related theory,chance constrained programming based on chance constrained scheduling model of electric vehicle,a sequence of operations through the use of thought,the randomness of the variables in the model transformation,the expression of the joint probability distribution of them,in order to complete certainty equivalent conversion of chance constrained by an example analysis,shows that the introduction of chance constrained scheduling model,under a certain confidence level,compared to the deterministic scheduling model can get both economy and the stability of the optimization scheduling solution more appropriate.Based on the chance constraint model and the idea of master-slave game,an optimal scheduling model of micro-grid with electric vehicles(EVs)considering SOC benefits was proposed.In the upper model,as the leader,the micro grid takes the minimum operating cost of the micro grid as the goal to formulate reasonable pricing policies to guide the charging and discharging behavior of electric vehicles.Electric vehicle users at the lower level respond to the price policy by considering their own SOC benefits and adjust charging and discharging strategies with their own benefit maximized as the goal.The example analysis shows that the proposed model can reduce The Times of charging and discharging of electric vehicles and keep the SOC at a high level while taking into account the benefits of both the master and slave sides and reducing the peak-valley difference of microgrid load. |