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Charging and Discharging Strategy of Electric Vehicles Within a Hierarchical Energy Management Framework

  • Conference paper
  • First Online:
Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration (ICSEE 2017, LSMS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 763))

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Abstract

As the number of EVs is increasing modern methods are required to understand their impact to the power grid (operators and users). In order to reduce/manage fluctuations on voltage stability and angle stability there is a need for a management control strategy. This paper presents an energy management concept of Charging Station System (CSS) to charge or discharge power of EVs in different situations while retaining system integrity. A suitable objective function is formulated of frequency deviation and voltage deviation on the optimal operation of the charging station are evaluated by formulating and solving the optimisation problem using mixed integer linear programming. The results show that EVs act as a regulator of the microgrid which can control their participation role by discharging active or reactive power in mitigating frequency deviation and/or voltage deviation. The optimisation algorithm is evaluated by formulating and solving the optimisation problem using mixed integer linear programming. Case studies are used to show the viability of the proposed energy management concept.

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Abbreviations

CSA:

Charging station agency

CSO:

Charging station operator

CSS:

Charging station systema

EMS:

Energy management shell

EVA:

Electric vehicle agency

EVO:

Electric vehicle operator

EVs:

Electric vehicles

FAN:

Frequency above nominal

FBN:

Frequency below nominal

FN:

Nominal frequency

FOA:

Frequency over above nominal

FOB:

Frequency over below nominal

MGO:

Microgrid operator

PES:

Power electronic shell

PMS:

Power management shell

RS:

Recharging socket

RSA:

Recharging socket agency

VAN:

Voltage above nominal

VBN:

Voltage below nominal

VN:

Nominal voltage

VOA:

Voltage over above nominal

VOB:

Voltage over below nominal

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Author information

Authors and Affiliations

  1. Cranfield University, Bedford, MK43 0AL, UK

    Mohammed Alkhafaji & Patrick Luk

  2. Cranfield University, Shrivenham, Swindon, SN6 8LA, UK

    John Economou

Authors
  1. Mohammed Alkhafaji
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  2. Patrick Luk
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  3. John Economou
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Corresponding author

Correspondence to Patrick Luk .

Editor information

Editors and Affiliations

  1. Queen’s University Belfast, Belfast, United Kingdom

    Kang Li

  2. Nanjing Automation Research Institute, Nanjing, China

    Yusheng Xue

  3. Harbin Institute of Technology, Harbin, China

    Shumei Cui

  4. Shanghai University, Shanghai, China

    Qun Niu

  5. Queen’s University Belfast, Belfast, United Kingdom

    Zhile Yang

  6. Cranfield University, Bedford, United Kingdom

    Patrick Luk

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© 2017 Springer Nature Singapore Pte Ltd.

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Alkhafaji, M., Luk, P., Economou, J. (2017). Charging and Discharging Strategy of Electric Vehicles Within a Hierarchical Energy Management Framework. In: Li, K., Xue, Y., Cui, S., Niu, Q., Yang, Z., Luk, P. (eds) Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 763. Springer, Singapore. https://doi.org/10.1007/978-981-10-6364-0_70

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  • DOI: https://doi.org/10.1007/978-981-10-6364-0_70

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6363-3

  • Online ISBN: 978-981-10-6364-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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