Planning Technology And Operation Strategy Of Energy Storage System At User Side

In recent years,with the continuous development of economy,the energy demand of users continues to increase.Under the time-of-use pricing strategy,industrial users are faced with the challenge of improving their own energy flexibility if they want to expand economic output while reducing operating costs such as electricity bills and improving their own operating benefits.With the widespread use of renewable energy power generation systems on the user side,the uncertainty of the output of renewable energy power generation systems will further increase the user system’s demand for flexibility.The energy storage system can effectively improve the flexibility of the user’s energy use.Through the reasonable control of the charging and discharging of the energy storage system,the energy consumption of the user at different time periods can be changed,thereby improving the energy consumption efficiency of the user.This thesis focuses on the optimization planning and operation strategy of user-side energy storage.The main work is summarized as follows:（1）Aiming at the problem of optimal configuration of energy storage for pure electric industrial users,based on the control and management of the user’s maximum demand,and considering the synergistic effect of the load response resources and the energy storage system,a double-layer optimal configuration model of the pure electric industrial user electric energy storage system is proposed.The upper layer aims at the economic benefits in the life cycle of the user-side energy storage system,optimizes the storage capacity,power and load shaving rate.The lower layer aims to maximize the typical daily income,optimizes the charging and discharging strategy of the energy storage system and the management strategy for the load during the typical day.The calculation example proves that the method proposed in this thesis can make full use of load resources,reduce the storage capacity of the energy storage system,reduce the user investment cost and improve the investment benefit while controlling the demand of large users.（2）For the electric/thermal energy storage operation of the integrated energy system,considering the uncertainty of photovoltaic renewable energy,electric load and thermal load,use the controllable air-conditioning load to stableilize the power supply error caused by the uncertainty of photovoltaic and electric load,and use controllable flexible thermal load is used to stableilize the heat supply error caused by the uncertainty of thermal load,and a robust optimization model of integrated energy system electric/thermal energy storage is establelished with the goal of minimizing the daily operating cost.The original robust optimization problem is decomposed into a main optimization problem and two sub-optimization problems through the C＆CG algorithm,thereby reducing the solution complexity of the original robust optimization problem.Finally,the influence of considering the uncertainty of photovoltaic renewable energy,electric load and thermal load on the optimal operation of electric/thermal energy storage of the integrated energy system is analyzed by a numerical example,and the improvement of the economy and stableility of the robust optimal configuration of the integrated energy system electric/thermal energy storage after considering the air conditioning load and the flexible thermal load.（3）Aiming at the problem of capacity allocation of energy storage in integrated energy system,in order to improve the economy of planning and operation of energy storage system under the uncertainty of source-load,it is proposed to establish a robust optimal configuration method for electric/thermal hybrid energy storage consider the uncertainty of source-load and the intraday of response air-conditioning load and flexible thermal load.Firstly,an intraday response model for air-conditioning load and flexible heating（cooling）load to suppress the energy supply error caused by the uncertainty of source-load in each typical day is constructed.Day-ahead optimal operation and intraday response were established,and a robust optimal configuration model of electric/thermal hybrid energy storage was established with the minimum annualized operation cost and investment cost as the objective function.The original robust optimal configuration problem is decomposed into the main optimal configuration problem and the sub-optimization problem through the C＆CG algorithm,thereby reducing the solution complexity of the original robust optimal configuration problem.Finally,the economical improvement effect of the configuration method proposed in this thesis on the energy storage planning and operation of the integrated energy system is verified by a numerical example.The influence of the source-load uncertainty and source-load prediction accuracy on the energy storage allocation capacity is analyzed considering the intraday response of the load.