Different user energy storage configuration evaluation and operation optimization method based on energy storage model selection

Abstract

The invention discloses a different user energy storage configuration evaluation and operation optimization method based on energy storage model selection. The method comprises the steps: building a battery energy storage model selection evaluation model based on an interval analytic hierarchy process based on battery energy storage market indexes, a verification energy storage technology and performance index parameters, and obtaining an energy storage battery through evaluation; selecting an energy storage battery, and establishing an energy storage full-life-cycle configuration model basedon a time-of-use electricity price mechanism, an energy storage battery technology and performance parameters; selecting different user annual average load curves to perform energy storage configuration, and calculating corresponding user energy storage evaluation index parameters; evaluating energy storage configurations of different users based on an analytic hierarchy process; and for users suitable for configuring energy storage, establishing a day-ahead energy storage optimal scheduling model, and optimizing the energy storage charging / discharging power in the day scheduling period basedon the LSTM day-ahead load prediction data. According to the invention, evaluation and analysis can be carried out on energy storage configured for different typical users, guidance is provided for energy storage installation of different users, and the development of user-side energy storage is promoted.

Description

technical field [0001] The invention relates to the field of electric power, in particular to an energy storage configuration evaluation and operation optimization method for different users based on energy storage type selection. Background technique [0002] In recent years, with the rapid development of social economy and the continuous improvement of people's living standards, the frequency of peak loads in the power system has continued to increase, and the load of power users has shown a large peak-to-valley difference. Battery energy storage (hereinafter referred to as "energy storage") ”) With its flexible throughput capability for electric power, it can realize the temporal and spatial translation of electric energy, and has the potential to cope with load fluctuations. At the same time, in recent years, the country has successively issued a series of policies such as "Guiding Opinions on Promoting the Development of Energy Storage Industry and Technology" and "Impl...

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Problems solved by technology

[0004] In the user-side energy storage research, most of the current studies focus on the energy storage configuration planning for a single industrial user, and some studies consider the operation optimization stage, which is not perfect for other typical users; at the same time, most of the energy storage configuration process ignores the time scale difference , did not fully consider the discount rate and inflation rate in the actual planning process, and could not accurately obtain the optimal configuration capacity of energy storage

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