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A Fuzzy Energy Management Strategy for the Coordination of Electric Vehicle Charging in Low Voltage Distribution Grids.

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Title: A Fuzzy Energy Management Strategy for the Coordination of Electric Vehicle Charging in Low Voltage Distribution Grids.
Authors: Boglou, Vasileios1 (AUTHOR) vboglou@ee.duth.gr, Karavas, Christos-Spyridon2,3 (AUTHOR) ckarav@aua.gr, Arvanitis, Konstantinos2 (AUTHOR) karvan@aua.gr, Karlis, Athanasios1 (AUTHOR) akarlis@ee.duth.gr
Source: Energies (19961073). Jul2020, Vol. 13 Issue 14, p3709. 1p. 7 Diagrams, 15 Charts, 18 Graphs.
Subject Terms: *Hybrid electric vehicles, *Low voltage systems, *Electric vehicles, *Energy management, *Electronics, *Electric power consumption
Company/Entity: Institute of Electrical & Electronics Engineers 001651855
Abstract: Electric vehicles (EVs) have become widespread during the last decade because of the distinct advantages they offer compared to the conventional ones. However, the increased penetration of EVs in the global transportation market has led increased electricity demands, which is expected to affect the operation of energy distribution systems. In the present paper, a demonstration about the effects of uncontrolled EVs charging in a case study low voltage (LV) network is demonstrated and a fuzzy energy management strategy for the coordination of EV charging in LV networks is presented, by including the distance of the EVs from the transformers in the fuzzy management systems for the first time. The Institute of Electrical and Electronics Engineers (IEEE) European Test Feeder is used as a case study low voltage distribution grid. In particular, the developed system configuration takes into consideration the architecture of the grid, the ampacities of the lines and the voltages at the system's buses. Moreover, electric vehicles are considered as agent-based models, which are characterized by the model of each EV, the state-of-charge of their batteries and the charging power. In particular, an investigation into the effects of uncontrolled charging is performed, in which two approaches are examined. The first approach investigates the maximum number of chargeable EVs in the case study network and how it is influenced by the grid's household loads. The second approach examines the number of network undervoltages and lines ampacity violations in a set of simulation scenarios. The results of the first approach show that the distance of the EVs from the networks substation affects the maximum number of chargeable EVs in a significant manner. Based on the observed results of the two approaches, a fuzzy management system is designed for the coordination of EV changing, which takes into account the distance from the EV charging points to the feeder substation, the state-of-charge of the EVs' batteries and the EVs' charging delay time. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 144754232
AccessLevel: 6
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PubTypeId: academicJournal
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  Label: Title
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  Data: A Fuzzy Energy Management Strategy for the Coordination of Electric Vehicle Charging in Low Voltage Distribution Grids.
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  Data: <searchLink fieldCode="AR" term="%22Boglou%2C+Vasileios%22">Boglou, Vasileios</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> vboglou@ee.duth.gr</i><br /><searchLink fieldCode="AR" term="%22Karavas%2C+Christos-Spyridon%22">Karavas, Christos-Spyridon</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<i> ckarav@aua.gr</i><br /><searchLink fieldCode="AR" term="%22Arvanitis%2C+Konstantinos%22">Arvanitis, Konstantinos</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> karvan@aua.gr</i><br /><searchLink fieldCode="AR" term="%22Karlis%2C+Athanasios%22">Karlis, Athanasios</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> akarlis@ee.duth.gr</i>
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jul2020, Vol. 13 Issue 14, p3709. 1p. 7 Diagrams, 15 Charts, 18 Graphs.
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  Data: *<searchLink fieldCode="DE" term="%22Hybrid+electric+vehicles%22">Hybrid electric vehicles</searchLink><br />*<searchLink fieldCode="DE" term="%22Low+voltage+systems%22">Low voltage systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+vehicles%22">Electric vehicles</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+management%22">Energy management</searchLink><br />*<searchLink fieldCode="DE" term="%22Electronics%22">Electronics</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+power+consumption%22">Electric power consumption</searchLink>
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– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Electric vehicles (EVs) have become widespread during the last decade because of the distinct advantages they offer compared to the conventional ones. However, the increased penetration of EVs in the global transportation market has led increased electricity demands, which is expected to affect the operation of energy distribution systems. In the present paper, a demonstration about the effects of uncontrolled EVs charging in a case study low voltage (LV) network is demonstrated and a fuzzy energy management strategy for the coordination of EV charging in LV networks is presented, by including the distance of the EVs from the transformers in the fuzzy management systems for the first time. The Institute of Electrical and Electronics Engineers (IEEE) European Test Feeder is used as a case study low voltage distribution grid. In particular, the developed system configuration takes into consideration the architecture of the grid, the ampacities of the lines and the voltages at the system's buses. Moreover, electric vehicles are considered as agent-based models, which are characterized by the model of each EV, the state-of-charge of their batteries and the charging power. In particular, an investigation into the effects of uncontrolled charging is performed, in which two approaches are examined. The first approach investigates the maximum number of chargeable EVs in the case study network and how it is influenced by the grid's household loads. The second approach examines the number of network undervoltages and lines ampacity violations in a set of simulation scenarios. The results of the first approach show that the distance of the EVs from the networks substation affects the maximum number of chargeable EVs in a significant manner. Based on the observed results of the two approaches, a fuzzy management system is designed for the coordination of EV changing, which takes into account the distance from the EV charging points to the feeder substation, the state-of-charge of the EVs' batteries and the EVs' charging delay time. [ABSTRACT FROM AUTHOR]
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        Value: 10.3390/en13143709
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Low voltage systems
        Type: general
      – SubjectFull: Electric vehicles
        Type: general
      – SubjectFull: Energy management
        Type: general
      – SubjectFull: Electronics
        Type: general
      – SubjectFull: Electric power consumption
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      – SubjectFull: Institute of Electrical & Electronics Engineers
        Type: general
    Titles:
      – TitleFull: A Fuzzy Energy Management Strategy for the Coordination of Electric Vehicle Charging in Low Voltage Distribution Grids.
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            NameFull: Boglou, Vasileios
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            NameFull: Karavas, Christos-Spyridon
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            NameFull: Arvanitis, Konstantinos
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            NameFull: Karlis, Athanasios
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            – D: 15
              M: 07
              Text: Jul2020
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              Y: 2020
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              Value: 13
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