A method for configuring and scheduling capacity of a light storage system

Abstract

The present application relates to the technical field of light storage integration, and discloses a light storage system capacity configuration and scheduling method, a load power generation timing matching coefficient is constructed based on a user load curve and a normalized photovoltaic output curve, and the optimal photovoltaic installed capacity is obtained with the maximum coefficient as the target; the load prediction error is fitted as a normal distribution to obtain a time-varying prediction standard deviation, the optimal energy storage capacity is obtained with the weighted sum of the energy storage investment cost and the expected shortage power as the minimum target, and the upper limit of the state of charge constraint is determined; a nonlinear battery attenuation model is constructed, a multi-objective function containing peak-valley arbitrage, demand charge saving, photovoltaic fluctuation suppression and battery life loss is constructed, and the rolling time domain optimization is carried out with the configuration result as the constraint condition to obtain the energy storage charging and discharging power. The present application realizes the closed-loop joint optimization of the light storage system capacity configuration and operation scheduling, solves the technical problems of timing mismatch, prediction uncertainty, model distortion and single target, and improves the reliability of the energy storage system.

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