| With the continuous development of energy storage technology,the increase of renewable energy penetration,the prominent contradiction between supply and demand of power system and the support of a series of policies issued by the state,the advantages of energy storage technology have attracted more and more attention.However,at present,the application of energy storage technology in our country has not reached the expectation.On the one hand,the investment cost of energy storage system is still at a high level;on the other hand,the configuration of energy storage system is unreasonable,and the installed energy storage system has a low operating efficiency,which fails to give full play to the role of energy storage and maximize economic benefits.Therefore,it is of great significance to optimize the capacity allocation and operation of energy storage system.In this paper,the configuration and operation optimization of energy storage application in incremental distribution network and user side are studied.(1)This paper analyzes the characteristics of all kinds of energy storage,and chooses battery energy storage as the research object combining the application purpose of incremental distribution network and user side.The configuration and operation optimization of energy storage in user side and incremental distribution network are discussed,including the system structure and mathematical model construction of battery energy storage.Aiming at the cost of energy storage optimization in the incremental distribution network,the calculation model of life cycle cost of power supply is given in detail.(2)According to the characteristics of the incremental distribution network,such as high proportion of renewable energy supply and the demand of renewable energy consumption nearby,considering the internal configuration of energy storage battery in the incremental distribution network,and the two-way power flow between the incremental distribution network and the large grid,the energy scheduling strategy of the incremental distribution network is constructed.At the same time,in view of the diversified investment and operation modes that may exist in the future incremental distribution network,the optimization models and constraints of different stakeholders are established.The multi-objective black hole algorithm combined with D-S evidence theory is adopted to realize the multi-objective optimization decision of power capacity allocation,which improves the operation performance of the incremental distribution network and the investment and operation benefits of different stakeholders.(3)Based on the charging rules of large industrial users' electricity charges,an optimization model of energy storage configuration is constructed,which combines demand defense with peak load cutting and valley filling.It not only considers the optimization of energy storage configuration and operation,but also considers the influence of load forecasting error in real-time rolling optimization.In order to achieve the best economic benefit after the energy storage is put into operation,the limit of the number of charge discharge state transition of the energy storage battery is proposed.Then,combined with the load forecast data,the optimization model before the month and the rolling optimization model within the day are constructed.Compared with the day ahead operation optimization,the daily rolling optimization constantly corrects the load forecast error by updating the actual load data and monthly demand defense value in real time,so that users can obtain higher income,effectively reduce the user's electricity cost,and improve the economy of the user side battery energy storage investment and operation. |
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