A Novel MPPT Algorithm based on Aquila Optimizer under PSC and Implementation using Raspberry
Hicham Karmouni, Mohamed Chouiekh, Saad Motahhir, Idriss Dagal, Hicham Oufettoul, Hassan Qjidaa, Mhamed Sayyouri
20222022 11th International Conference on Renewable Energy Research and Application (ICRERA)20 citationsDOI
Abstract
In this paper, we propose an Aquila Optimizer (AO) algorithm specific to photovoltaic (PV) energy storage conversion system for the global maximum power point tracking (GMPPT) of a battery in partial shade conditions (PSC). Several simulation experiments were run in the Simulink 2021a environment to evaluate the performance of the suggested MPPT control. The simulation results show the highest accuracy, speed and stability of the suggested AO algorithm under PSC. After being integrated on a "Raspberry Pi 4 Model B" embedded board, the embedded software produced underwent a validation and verification procedure.
Topics & Concepts
Maximum power point trackingPhotovoltaic systemComputer scienceAlgorithmBattery (electricity)Raspberry piSoftwareStability (learning theory)Power (physics)Point (geometry)Real-time computingSimulationEmbedded systemEngineeringMathematicsOperating systemElectrical engineeringInverterMachine learningInternet of ThingsQuantum mechanicsPhysicsGeometryPhotovoltaic System Optimization TechniquesAdvanced Battery Technologies ResearchSolar Radiation and Photovoltaics