Optimization of ESS Configuration and Operation Strategy for PV DC Collection System

Configuring energy storage system (ESS) in photovoltaic (PV) DC collection systems can suppress PV fluctuations. For PV DC collection systems, this article considers the system output power characteristics and configuration ESS costs, and designs a double-layer solution model for multi-objective optimization. The overall optimization objective is to minimize the system configuration ESS cost, and the outer layer determines the configuration power and capacity of the ESS. Particle swarm optimization algorithm is used to solve the problem; The inner layer determines the optimal operating strategy for energy storage, using yalmip and cplex for optimization solution. The example analysis shows that the proposed model can improve the output power characteristics and economic performance of the PV DC collection system. The model is feasible and effective, and it also demonstrates that the model can provide theoretical support for the rationality of ESS configuration in the PV DC collection system, which is conducive to the perfect development of the PV DC collection system.