Research On The Control Strategy Of Electric Vehicles In The Absorption Of Wind And Solar Energy

It is a general trend for new energy vehicles to replace traditional fuel vehicles,while the number of electric vehicles has increased dramatically,the pressure of charging on the power grid canH be underestimated.Improving the grid's consumption of new energy is the goal of many people.Therefore,from the perspective of wind and photovoltaic power generation for electric vehicles,this paper mainly studies the following contents:(1)The time series of wind speed power is analyzed,and the time series of wind speed is decomposed into the sum of 15-minute average wind speed signal and turbulent wind speed signal.The relationship between the magnitude of turbulent signal and average wind speed is studied,and the power characteristic curve of the wind power generator is determined by fitting the data relationship between the power and wind speed of the wind power generator.Combining the relationship curve between the average wind speed and the turbulence signal,the relationship between the peak power fluctuation of the Wind power generator and the average wind speed is obtained.(2)The advantages and disadvantages of different theoretical models of photovoltaic power station is analyzed.Analyzing the data of photovoltaic power station,comparing the predicted results with the actual values of photovoltaic power station,and analyzing the factors affecting the predicted results,linking the fluctuation between the predicted values and the measured values of photovoltaic power station with the weather factors,and dealing with cloudy and sunny weather.Weather as two indicators,with the predicted value and the measured value of the difference between the analysis of correlation.Thus,the possible range of photovoltaic fluctuation prediction is obtained.(3)Modeling and analyzing the charging and discharging rules of electric vehicles according to certain travel rules.Based on the discrete Markov chain,the charge state transition probability of electric vehicle is established according to the results of Monte Carlo simulation.The state transition matrix varies with time,and the stationary distribution of the state transition matrix is obtained to obtain the charging potential of the electric vehicle in a certain area,that is,the function of the charging demand of the electric vehicle with time.The main factors affecting the state transition matrix are analyzed,and the results of each factor affecting the state transition matrix are given.Different modified models are proposed for the charging potential model.Thus a more accurate charging potential model can be obtained.(4)A simulation example is given.The fluctuation of wind-pv output power can be suppressed and absorbed through the charging power control strategy of ev,and the minimum number of ev needed to absorb the fluctuation of wind-pv power is given.The feasibility of the control strategy is verified.