Research On Economic Dispatch Of Power Grid Containing Wind Power And Electric Vehicles

As a renewable energy source,wind power has the advantages of cleanliness and economy.However,the uncertainty of wind power makes it difficult to accurately predict wind power.Forecast error of wind power will cause unbalanced generation of power supply,which will increase the operating cost of the power grid.In severe cases,it will cause the power grid to collapse.At the same time,as a new energy vehicle,electric vehicles also have certain advantages in energy conservation and emission reduction.However,the charging of electric vehicles is also random,and it is likely to cause phenomena such as "adding peaks on the peaks" and affect the safe operation of the power grid.Due to the proposal of the electric vehicle Vehicle to Grid(V2G)technology,the electric vehicle can not only be charged when it is in a stopped state,but also can feed back electrical energy to the grid.If reasonable scheduling of wind turbines and electric vehicles is carried out,not only can the wind power consumption be increased,but also the impact of random charging of electric vehicles on the grid can be reduced.Therefore,the topic of grid economic dispatch including wind power generation and electric vehicles has valuable research significance.The specific research content of this paper is as follows:(1)A method of fitting the wind power forecast error distribution function is proposed.For wind power uncertainty,the wind power prediction error was first analyzed and fitted into a multidimensional Gaussian distribution function.To quickly and accurately fit the wind power forecast error distribution function,this paper uses the least squares method to establish an optimization model and uses the particle swarm algorithm to solve each parameter of the distribution function,and evaluates the merits of the fitting distribution function through the example simulation.(2)Established complementary models of wind power output and orderly charge and discharge of electric vehicles.Firstly,the charging and discharging influencing factors of electric vehicles were analyzed.Monte Carlo method was used to simulate the random charging process of electric vehicles.The convolution integral method is used to establish the joint distribution function of wind-vehicle power prediction error.In order to solve the uncertainty of wind power and electric vehicle charging,a complementary model of wind power output and ordered charge and discharge of electric vehicles was established.Through simulation analysis to verify the orderly charge and discharge of the electric vehicle,it can flatten the superimposed power of the wind turbine and the charging and discharging of the electric vehicle,and suppress the fluctuation of the superposed power.(3)An economic dispatch model containing wind power was established and an economic dispatch model with wind power-electric vehicle complementary power grid was established.The wind power forecast error distribution function was brought into the power grid dispatch model,and the risk cost of underestimation and overestimation of the wind turbine was obtained through integral calculation.A grid dispatch model with integral factor risk was established;the wind power output was complemented with the orderly charging and discharging of electric vehicles.The model was brought into the grid dispatch model,and an economic dispatch model with complementary grids for wind power-electric vehicles was proposed.Through simulation analysis,the above two models are verified respectively,which can reduce the impact of random charging of electric vehicles on the grid,and also increase the ability of the grid to absorb wind power.(4)In order to solve the power grid scheduling model,the crossover mutation operation was brought into the Barebone Particle Swarm Optimization,and an Improved Barebone Particle Swarm Optimization algorithm was proposed.And And through analysis of examples to verify its performance.Through simulation and analysis,the grid economic dispatch model containing wind power generation and electric vehicles proposed in this paper can increase the wind power absorption capacity and reduce the operating cost of the power grid,which has certain theoretical and practical application value.