Abstract
To cater for the commercial application of energy storage on the user side, a two-stage optimal configuration model of energy storage on the user side based on generalized Benders Decomposition algorithm is proposed. Firstly, according to the collected historical load data, the user can judge whether it is suitable to install the energy storage device. Then, aiming at maximizing the benefit of energy storage, a two-stage optimal energy storage allocation model with monthly scale and daily scale is established for users who are suitable for installing energy storage devices. Considering that the model is a nonlinear mixed integer optimization, the generalized Benders Decomposition algorithm is used to optimize the model. Finally, the load data of three typical large industrial users are collected, and the Benders Decomposition algorithm is compiled with MATLAB2017a to optimize the simulation, which verifies the economic effectiveness of the proposed model.
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