Decision Support System for a Low Voltage Renewable Energy System

This paper presents the development of a decision support system (DSS) for a low-voltage grid with renewable energy sources (photovoltaic panels and wind turbine) which aims at achieving energy balance in a pilot microgrid with less energy consumed from the network. The DSS is based on a procedural...

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Main Authors: Iulia Stamatescu, Nicoleta Arghira, Ioana Făgărăşan, Grigore Stamatescu, Sergiu Stelian Iliescu, Vasile Calofir
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/10/1/118
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author Iulia Stamatescu
Nicoleta Arghira
Ioana Făgărăşan
Grigore Stamatescu
Sergiu Stelian Iliescu
Vasile Calofir
author_facet Iulia Stamatescu
Nicoleta Arghira
Ioana Făgărăşan
Grigore Stamatescu
Sergiu Stelian Iliescu
Vasile Calofir
author_sort Iulia Stamatescu
collection DOAJ
description This paper presents the development of a decision support system (DSS) for a low-voltage grid with renewable energy sources (photovoltaic panels and wind turbine) which aims at achieving energy balance in a pilot microgrid with less energy consumed from the network. The DSS is based on a procedural decision algorithm that is applied on a pilot microgrid, with energy produced from renewable energy sources, but it can be easily generalized for any microgrid. To underline the benefits of the developed DSS two case scenarios (a household and an office building with different energy consumptions) were analyzed. The results and throw added value of the paper is the description of an implemented microgrid, the development and testing of the decision support system on real measured data. Experimental results have demonstrated the validity of the approach in rule-based decision switching.
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spelling doaj.art-b557490ec82942668f4eb6296d1198ff2022-12-22T04:00:39ZengMDPI AGEnergies1996-10732017-01-0110111810.3390/en10010118en10010118Decision Support System for a Low Voltage Renewable Energy SystemIulia Stamatescu0Nicoleta Arghira1Ioana Făgărăşan2Grigore Stamatescu3Sergiu Stelian Iliescu4Vasile Calofir5Department of Industrial Automation and Informatics, Faculty of Automatic Control and Computers, University “Politehnica” of Bucharest, 313 Splaiul Independentei, 06004 Bucharest, RomaniaDepartment of Industrial Automation and Informatics, Faculty of Automatic Control and Computers, University “Politehnica” of Bucharest, 313 Splaiul Independentei, 06004 Bucharest, RomaniaDepartment of Industrial Automation and Informatics, Faculty of Automatic Control and Computers, University “Politehnica” of Bucharest, 313 Splaiul Independentei, 06004 Bucharest, RomaniaDepartment of Industrial Automation and Informatics, Faculty of Automatic Control and Computers, University “Politehnica” of Bucharest, 313 Splaiul Independentei, 06004 Bucharest, RomaniaDepartment of Industrial Automation and Informatics, Faculty of Automatic Control and Computers, University “Politehnica” of Bucharest, 313 Splaiul Independentei, 06004 Bucharest, RomaniaDepartment of Industrial Automation and Informatics, Faculty of Automatic Control and Computers, University “Politehnica” of Bucharest, 313 Splaiul Independentei, 06004 Bucharest, RomaniaThis paper presents the development of a decision support system (DSS) for a low-voltage grid with renewable energy sources (photovoltaic panels and wind turbine) which aims at achieving energy balance in a pilot microgrid with less energy consumed from the network. The DSS is based on a procedural decision algorithm that is applied on a pilot microgrid, with energy produced from renewable energy sources, but it can be easily generalized for any microgrid. To underline the benefits of the developed DSS two case scenarios (a household and an office building with different energy consumptions) were analyzed. The results and throw added value of the paper is the description of an implemented microgrid, the development and testing of the decision support system on real measured data. Experimental results have demonstrated the validity of the approach in rule-based decision switching.http://www.mdpi.com/1996-1073/10/1/118power systemsmicrogriddecision support systemdistributed energy resourcesrenewable energy sourceslow voltage renewable energy system
spellingShingle Iulia Stamatescu
Nicoleta Arghira
Ioana Făgărăşan
Grigore Stamatescu
Sergiu Stelian Iliescu
Vasile Calofir
Decision Support System for a Low Voltage Renewable Energy System
Energies
power systems
microgrid
decision support system
distributed energy resources
renewable energy sources
low voltage renewable energy system
title Decision Support System for a Low Voltage Renewable Energy System
title_full Decision Support System for a Low Voltage Renewable Energy System
title_fullStr Decision Support System for a Low Voltage Renewable Energy System
title_full_unstemmed Decision Support System for a Low Voltage Renewable Energy System
title_short Decision Support System for a Low Voltage Renewable Energy System
title_sort decision support system for a low voltage renewable energy system
topic power systems
microgrid
decision support system
distributed energy resources
renewable energy sources
low voltage renewable energy system
url http://www.mdpi.com/1996-1073/10/1/118
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