Optimization Configuration Method of Industrial User-side Energy Storage

Aiming at the punishment problem of large industrial users who exceed the maximum demand under the condition of demand electricity price, an optimal configuration model of user-side energy storage system based on the two-layer decision is proposed. Under the condition of the maximum demand billing in the two-part electricity price, the objective function of the outer layer of the model is the total cost of the energy storage system in the life cycle of the energy storage medium, taking into account the cost of electricity price, energy storage battery and related equipment costs, etc. Factors to obtain the configuration results of energy storage capacity and maximum demand; the inner objective function is the cost of daily electricity consumption by users, and the optimal daily combined load curve is obtained. Through numerical simulation, using quantum genetic algorithm and YALMIP toolbox to optimize the two-layer decision model, the capacity configuration, economy and performance of lithium battery and lead-acid battery are compared, and the validity of the model is verified.