Comparative Study of P&O and PSO Particle Swarm Optimization MPPT Controllers for Photovoltaic Systems
Mahbouba Brahmi, Chiheb Ben Regaya, Hichem Hamdi, Abderrahmen Zaafouri
20222022 8th International Conference on Control, Decision and Information Technologies (CoDIT)15 citationsDOI
Abstract
The performance of a photovoltaic system is strongly affected by the environmental conditions which it is subjected such as random atmospheric variations. In order to improve the performance of a photovoltaic system, the work of this paper is devoted to the comparative study between the following MPPT algorithms: the perturbation and observation algorithm (P&O) and the particle swarm optimization algorithm PSO. These two algorithms are tested under various atmospheric conditions and evaluated in terms of efficiency, stability, speed, and robustness. The obtained simulation results show the effectiveness of the PSO than the P&O algorithm.
Topics & Concepts
Particle swarm optimizationPhotovoltaic systemRobustness (evolution)Control theory (sociology)Perturbation (astronomy)Maximum power point trackingSwarm behaviourMathematical optimizationComputer scienceStability (learning theory)Optimization algorithmMathematicsEngineeringPhysicsArtificial intelligenceVoltageBiologyControl (management)InverterMachine learningGeneQuantum mechanicsBiochemistryElectrical engineeringPhotovoltaic System Optimization TechniquesSolar Radiation and Photovoltaicssolar cell performance optimization