A Comparative Study of Energy Control Strategies for Photovoltaic-Battery Systems

In this paper, two algorithms have been developed: a Perturb and Observe (P&O) algorithm and the Particle Swarm Optimization (PSO) control algorithm to ensure optimal operation at the maximum power point of a photovoltaic (PV) system under changing climatic conditions. In recent years, there has been a significant focus on the integration of PV systems with energy storage solutions, especially lithium-ion batteries. This integration has garnered considerable interest due to its promise of improving energy management, bolstering grid resilience, and optimizing the utilization of renewable energy sources. To achieve this, a proportional-integral controller is implemented to independently regulate active and reactive power components. The utilization of batteries for energy storage within photovoltaic systems has emerged as a progressively favorable approach for enhancing energy quality in terms of both current and voltage. The simulation outcomes are generated using MATLAB/Simulink tools.