Control Strategy for Wind-PV-Storage Hybrid Power Generation Systems

In order to improve the control performance of the wind-PV-storage hybrid power generation system, this study introduces a mathematical model that captures the operational dynamics of wind, photovoltaic (PV), and energy storage systems. The control strategy is fine-tuned using a multiobjective particle swarm optimization (PSO) algorithm. Simulation results, based on real-world operational data from a wind-PV-storage hybrid power generation system, confirm the effectiveness of the model. The findings reveal that the proposed strategy significantly outperforms the actual system in terms of power tracking and renewable energy absorption, highlighting its potential to enhance system stability and optimize the use of renewable energy.