{"title":"Model Predictive Control of Renewable Energy Sources in DC Microgrid for Power Flow Control","authors":"Apoorva Srivastava, R. S. Bajpai","doi":"10.15866/irecon.v9i4.20152","DOIUrl":null,"url":null,"abstract":"This paper aims to integrate and control renewable energy sources for power management and operation of a standalone hybrid DC microgrid. The system consists of photovoltaic arrays, wind turbine and fuel cells with storage batteries as backup. It proposes a Model Predictive Control (MPC) scheme that accurately tracks the desired load current and output voltage for relative power sharing among multiple distributed sustainable energy resources. Sustainable energy sources are controlled to deliver maximum power using DC-DC boost converters. MPPT control strategy is designed based on model predictive control, which evaluates the suitable power references at each sampling time with optimal cost function, in order to achieve desired results under varying conditions of renewable energy sources. Commonly used Incremental Conductance algorithm is used as a base framework along with MPC to design MPPT controller. For power flow control, MPC controller with discrete time Kalman filter has been designed for modifying voltage and current references depending upon the input/output power variations from sources and loads respectively. The proposed MPC scheme has fast tracking response that can achieve the optimal power management between the Distributed Energy Resources (DERs) units, and loads connected to DC microgrid. The results are validated using MATLAB/SIMULINK simulation and experimental studies.","PeriodicalId":37583,"journal":{"name":"International Journal on Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal on Energy Conversion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15866/irecon.v9i4.20152","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Energy","Score":null,"Total":0}
引用次数: 1
Abstract
This paper aims to integrate and control renewable energy sources for power management and operation of a standalone hybrid DC microgrid. The system consists of photovoltaic arrays, wind turbine and fuel cells with storage batteries as backup. It proposes a Model Predictive Control (MPC) scheme that accurately tracks the desired load current and output voltage for relative power sharing among multiple distributed sustainable energy resources. Sustainable energy sources are controlled to deliver maximum power using DC-DC boost converters. MPPT control strategy is designed based on model predictive control, which evaluates the suitable power references at each sampling time with optimal cost function, in order to achieve desired results under varying conditions of renewable energy sources. Commonly used Incremental Conductance algorithm is used as a base framework along with MPC to design MPPT controller. For power flow control, MPC controller with discrete time Kalman filter has been designed for modifying voltage and current references depending upon the input/output power variations from sources and loads respectively. The proposed MPC scheme has fast tracking response that can achieve the optimal power management between the Distributed Energy Resources (DERs) units, and loads connected to DC microgrid. The results are validated using MATLAB/SIMULINK simulation and experimental studies.
期刊介绍：
The International Journal on Energy Conversion (IRECON) is a peer-reviewed journal that publishes original theoretical and applied papers on all aspects regarding energy conversion. It is intended to be a cross disciplinary and internationally journal aimed at disseminating results of research on energy conversion. The topics to be covered include but are not limited to: generation of electrical energy for general industrial, commercial, public, and domestic consumption and electromechanical energy conversion for the use of electrical energy, renewable energy conversion, thermoelectricity, thermionic, photoelectric, thermal-photovoltaic, magneto-hydrodynamic, chemical, Brayton, Diesel, Rankine and combined cycles, and Stirling engines, hydrogen and other advanced fuel cells, all sources forms and storage and uses and all conversion phenomena of energy, static or dynamic conversion systems and processes and energy storage (for example solar, nuclear, fossil, geothermal, wind, hydro, and biomass, process heat, electrolysis, heating and cooling, electrical, mechanical and thermal storage units), energy efficiency and management, sustainable energy, heat pipes and capillary pumped loops, thermal management of spacecraft, space and terrestrial power systems, hydrogen production and storage, nuclear power, single and combined cycles, miniaturized energy conversion and power systems, fuel cells and advanced batteries, industrial, civil, automotive, airspace and naval applications on energy conversion. The Editorial policy is to maintain a reasonable balance between papers regarding different research areas so that the Journal will be useful to all interested scientific groups.
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