Litcius/Paper detail

Performance evaluation of a novel self-tuning particle swarm optimization algorithm-based maximum power point tracker for porton exchange membrane fuel cells under different operating conditions

Ahmed Refaat, Ahmed Elbaz, Abd-Elwahab Khalifa, Mohamed Elsakka, Ahmed Kalas, Medhat Hegazy Elfar

2023Energy Conversion and Management43 citationsDOI

Topics & Concepts

Particle swarm optimizationRobustness (evolution)Maximum power point trackingProton exchange membrane fuel cellControl theory (sociology)Maximum power principleAlgorithmPower (physics)Nonlinear systemComputer scienceEngineeringFuel cellsPhotovoltaic systemChemistryChemical engineeringArtificial intelligencePhysicsElectrical engineeringInverterControl (management)Quantum mechanicsBiochemistryGeneFuel Cells and Related MaterialsAdvanced Battery Technologies ResearchElectrocatalysts for Energy Conversion