Data-based power management control for battery supercapacitor hybrid energy storage system in solar DC-microgrid
Qin Hu, Shilong Xie, Ji Zhang
Abstract
This paper addresses the energy management control problem of solar power generation system by using the data-driven method. The battery-supercapacitor hybrid energy storage system is considered to smooth the power fluctuation. A new model-free control method is utilized in the stand-alone photovoltaic DC-microgrid to provide the power to meet the demand load, while guaranteeing the DC bus voltage is stable. Furthermore, the proposed data-based power management control strategy only needs I/O data. Numerical simulations with real data verify the effectiveness of the proposed method.
Topics & Concepts
SupercapacitorMicrogridEnergy storageBattery (electricity)Computer sciencePower managementEnergy managementComputer data storageBattery storagePhotovoltaic systemPower (physics)Automotive engineeringEnergy management systemElectrical engineeringControl (management)Energy (signal processing)EngineeringComputer hardwareChemistryArtificial intelligenceElectrochemistryStatisticsPhysical chemistryElectrodeMathematicsPhysicsQuantum mechanicsAdvanced Battery Technologies ResearchElectric and Hybrid Vehicle TechnologiesMicrogrid Control and Optimization