Design and energy management research of integrated microgrid with light storage and charging with double-layer optimization scheduling model

To achieve efficient management of internal resources in microgrids and flexibility and stability of energy supply, a photovoltaic storage charging integrated microgrid system and energy management strategy based on a two-layer optimization scheduling model are studied and designed. On the basis of considering the uncertainty of photovoltaics, a dual layer optimization scheduling structure with reduced operating costs and equipped with supercapacitors has been proposed. On the basis of considering user needs, a time of use electricity pricing scheduling control strategy is proposed to achieve control over energy flow, and an improved particle swarm algorithm is used to handle the objective function. The constructed hybrid algorithm had good algorithm convergence, with the data recognition errors fluctuating up and down by no more than 1%. There were no significant oscillations in the output power curve, and the time to reach stable power was less than 0.3 s. In addition, the scheduling curve calculated by the hybrid algorithm had a small difference with the total energy output result, with at least 5% scheduling error compared to other comparative algorithms. The operating load of the microgrid has significantly decreased before and after optimization, effectively alleviating the peak valley difference in microgrid operation. The time of use electricity pricing strategy can effectively reduce the capacity and charging costs of energy storage systems, and effectively improve the utilization efficiency of the system. This design concept can provide reference value for microgrid design and energy management.