Economic Optimization Of Virtual Power Plant With Wind Farm And Electric Vehicle

As an important clean renewable energy,wind power has been paid more and more attention.However,due to the inherent uncertainty and volatility,wind farm often can't participate the power recently trading market like other more predictable and controllable conventional generating units.Therefore,this is a great impact on the economic benefits of wind farms.At the same time,in order to reduce emissions,the electric vehicle industry has been booming in recent years.It provides a possible way to use the electric vehicle's battery as storage of wind farm to improve its profits.In view of this,this paper proposes virtual power plant as a solution to increase the reliability of these intermittent renewable energy's access.In this paper,we further deepen the idea,we make the virtual power plant as a collection of wind farms and electric vehicles and use the electric vehicles as a storage medium of wind turbines to overcome its random volatility,then as a whole to participate the power trading market.The advantage of using electric vehicles as storage is that due to the rapid increase in the number of the electric vehicles,the dedicated storage doesn't need initial investment.It is helpful to increase the profits of wind farms and has a great effect on the development of wind farms.We has described the development trend of the wind farms and electric vehicles in recent years,and we put forward an agent based economic optimization model of virtual power plant with wind farms and electric vehicles depend on the virtual power plant technology which develops very quickly in recent years.More detailed,we first formal the model of a virtual power plant and then put forward an optimization model witch based on receding horizon control method.This method has a good effect on dealing with the problem of dynamic uncertainty.We will use the receding horizon optimization to handle the virtual power plant which is dynamic changing.And will show how to allocate the power supply and the electric vehicle battery storage to participate the day-ahead electricity market to increase its profits.And a new scheme is also used to pay for the storage of electric vehicles.Finally,we use a wind farm's actual data which has 10 wind turbines to have a short-term wind speed forecasting.And then based on the history price of power market and we find it is possible that the economic optimization scheme of a virtual power plant containing a wind farm and electric vehicles.The case simulation results show that the wind farm which use the electric vehicles as storage has a more profit than the wind farm which doesn't use.Considering the loss of electric vehicle battery storage,the electric vehicles also can get some benefits at the same time.Therefore,the economic optimization of virtual power plant which based on receding horizon control method is possible,and it has certain reference and practical value.