{"title":"An Improved MPC Control of Grid-Connected Inverter - Application to PV System","authors":"M. Habib, A. A. Ladjici, M. Benbouzid","doi":"10.15866/IRECON.V6I6.16588","DOIUrl":null,"url":null,"abstract":"Model predictive control (MPC) of power converters is an efficient technique that has given recently very suitable performance. MPC can give effective tracking and regulation with fast dynamic response and robustness. The technique is based on a simple model to select which optimal voltage vector has to be applied in the next time interval without the need for a modular. The main drawback is that the switching frequency is variable and depends on the inverter operational point in terms of active and reactive power which is a typical case in photovoltaic (PV) applications. High switching frequency increases active losses in the converter and may have the risk of exceeding the allowable threshold of semiconductors. However, the very low switching frequency can degrade the produced power quality. This work proposes an improved MPC algorithm by taking into consideration the switching frequency evolution. The proposed controller looks for a trade-off between power quality and switching frequency when performing control. The proposed technique is implemented in MATLAB/SimPowerSystems, the good scenario is achieved with THD of 3.75% with a maximum switching frequency of 1200 Hz optimizing almost 90% from the maximum switching frequency when using standard MPC.","PeriodicalId":37583,"journal":{"name":"International Journal on Energy Conversion","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal on Energy Conversion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15866/IRECON.V6I6.16588","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: 2
Abstract
Model predictive control (MPC) of power converters is an efficient technique that has given recently very suitable performance. MPC can give effective tracking and regulation with fast dynamic response and robustness. The technique is based on a simple model to select which optimal voltage vector has to be applied in the next time interval without the need for a modular. The main drawback is that the switching frequency is variable and depends on the inverter operational point in terms of active and reactive power which is a typical case in photovoltaic (PV) applications. High switching frequency increases active losses in the converter and may have the risk of exceeding the allowable threshold of semiconductors. However, the very low switching frequency can degrade the produced power quality. This work proposes an improved MPC algorithm by taking into consideration the switching frequency evolution. The proposed controller looks for a trade-off between power quality and switching frequency when performing control. The proposed technique is implemented in MATLAB/SimPowerSystems, the good scenario is achieved with THD of 3.75% with a maximum switching frequency of 1200 Hz optimizing almost 90% from the maximum switching frequency when using standard MPC.
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.