Operation Optimization Of Cloud Energy Storage On The Demand Side And Capacity Configuration For Wind Farms

In the future development trend of power system,a large number of distributed power sources cooperate with distributed energy storage.In a large amount of distributed energy storage,there is bound to be a vacancy rate of energy storage capacity,and cloud storage energy comes into being.Cloud storage can aggregate this part of idle energy storage capacity and invest in a part of centralized energy storage devices to provide rental services and become a new trend in power systems.The power demand side has the power to use energy storage to reduce electricity tariffs and wind farms to stabilize wind power fluctuations.Both of them will face the choice of self-built physical energy storage or purchase of cloud energy storage services in the future.Therefore,it is of great significance to study the application of cloud energy storage on the power demand side as well as in wind farms.Firstly,it introduces the development trend of wind power and the research status of using wind energy to suppress wind power fluctuation,and studies the application significance of cloud energy storage on power demand side and wind farm.The basic business model of cloud storage energy is expounded,and the research framework of cloud energy storage is established from the main lines of operation main line,target main line and market main line.Based on the cloud energy storage basic business model,the cloud energy storage and demand side behaviors are studied,and the basic operation models of the demand side and the cloud energy storage provider are established respectively.The demand side basic operation model is based on the simple logic of calling the cloud energy storage service on the demand side,that is,the demand side only considers the current price level,the own load,and the photovoltaic output to control the charging and discharging.The cloud storage energy provider basic operation model is based on the model prediction control operation decision method,and the overall operation cost of the entire time period of the next day and the forecast is obtained as the objective function,which can effectively cope with the demand side using the cloud energy storage service.Uncertainty in charge and discharge requirements.Finally,an example based on actual data shows that the method is effective.In order to facilitate the initial establishment of the rules and prices of the energy storage leasing service market,the initial business model of cloud storage energy was designed,including the capacity leasing mode and the lease duration constraint.In order to stabilize the wind power output fluctuation problem,the new business model of purchasing cloud energy storage is adopted to realize the controllable power output of the wind farm.In the initial cloud storage energy business model,the cost structure of the cloud energy storage operator is studied.In order to avoid the extra cost of the cloud storage energy caused by the overcharge and over discharge of the wind farm,the behavior of using the leased energy storage of the wind farm is predicted.The monthly storage price of cloud storage.The optimal rental capacity of the wind farm is calculated based on the purpose of providing a reference for the wind farm to purchase cloud energy storage services or self-built physical energy storage decisions.The cloud storage energy monthly rental service price,the wind farm discarding wind penalty cost,and the minimum power shortage penalty cost are the objective functions,satisfying the wind power fluctuation flatness rate,and configuring the optimal monthly capacity of the wind farm rental energy storage.The simulation analysis verifies the proposed The economics and effectiveness of cloud storage energy business models and technical services.