Joint Optimization Operation Of Thermostatically-controlled Load And Electric Vehicle Based On The Demand Side Response

At present,the concentrated use of air conditioning load has become an important factor for the increase of peak-valley difference in summer,and the disorderly charging of large-scale electric vehicles often leads to "peak on peak" and new load peak,which makes it more difficult for the power supply during peak hours and poses a threat to the safe and stable operation of power grid.At the same time,the air-conditioning unit can convert the electric power into the temporarily stored thermal power,and the batteries of electric vehicles can be used as electricity storage devices,which makes it possible to take part in the load regulation program with the use of them as demand response resources.Therefore,it has great significance to tap the potential of joint peak shaving to relieve the power supply pressure and promote the safe and economic operation of the power grid.Based on the influence of centralized power consumption of large-scale air-conditioning load and the disordered charging of electric vehicles on the grid load analyzed in this paper,the corresponding load model is established.On this basis,the temperature regulation method of air-conditioning unit and the joint optimal dispatching strategy are studied.Firstly,the equivalent modeling of air conditioning system,electric vehicle power battery system and charging and discharging behavior are established.On this basis,the load mathematical model of disordered use of the air conditionings and electric vehicles is established,which is solved by the Monte Carlo method.The example shows that the centralized use of air-conditioning units and the disordered charging behavior of electric vehicles will increase the load peak-valley difference,aggravate the load fluctuation,and affect the safe and stable operation of the power grid.Then,in order to solve the problem of periodic fluctuation of the aggregate power caused by the traditional temperature adjustment,the corresponding improved adjustment strategies are put forward respectively for the two situations of the temperature setting value rising and the temperature setting value falling.The simulation results show that the power fluctuation tends to be stable after the temperature adjustment is improved,and the power fluctuation can be well improved.Finally,for the purpose of smoothing the load curve of the power system,an optimal scheduling strategy of combining air-conditioning load and electric vehicle is proposed.The user benefit model and cost model of power grid dispatching are established.Meanwhile the corresponding constraint conditions and objective functions are also determined in the model.The example shows that under the guidance of demand-side response,the joint optimal scheduling model can effectively realize the "peak load cutting and valley filling" of the power system load and guarantee the user's benefits.