PV Array Reconfiguration Based on Genetic Algorithm for Maximum Power Extraction and Energy Impact Analysis
Mariana Durango-Flórez, Daniel González Montoya, Luz Adriana Trejos-Grisales, Carlos Andrés Ramos‐Paja
Abstract
Reconfiguration of PV arrays is one of the most suitable options to face issues affecting the power produced by panels, such as partial shading. This paper presents a reconfiguration procedure based on a genetic algorithm. The execution times obtained with the proposed approach validate its good performance compared with a traditional brute force algorithm. Finally, different shading patterns are considered in the simulations.
Topics & Concepts
Control reconfigurationGenetic algorithmComputer sciencePower (physics)Maximum power principleShadingEnergy (signal processing)AlgorithmPhotovoltaic systemMathematical optimizationEngineeringMathematicsEmbedded systemMachine learningElectrical engineeringStatisticsPhysicsComputer graphics (images)Quantum mechanicsPhotovoltaic System Optimization Techniquessolar cell performance optimizationSolar Radiation and Photovoltaics