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Optimal Transmission Congestion Management with V2G in Smart Grid

Received: 7 March 2018     Accepted: 29 March 2018     Published: 5 May 2018
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Abstract

The power system operators are looking for optimizing the power generating resources in the unit commitment problems considering the binding constraints. With the reconstruction in the power network structure, the increase in electricity price during some hours of day, and increase in fuel price, the utilities need to change their management paradigms. A smart grid can be a suitable choice for addressing these issues because they are able to continue working smartly. With the progress in the technology of batteries, power electronic devices, many well-known companies such as Toyota and Tesla have started producing electric and hybrid vehicles since 1990. Introducing electric vehicles to the power system provides unprecedented environmental and economic opportunities and at the same time new challenges to deal with for the system operators. The vehicle to grid (V2G) technology can enable the electric vehicles to inject energy to the grid in addition to its regular path of receiving energy from the grid. In this paper, the effect of the technology of V2G on the operation cost and LMP with considering the line congestion limits are investigated. To solve the optimization problem, a mixed integer linear programming (MILP) technique in the GAMS software is used. The proposed method is tested on the IEEE 6 bus system and the results are presented. This simulation shows that although the presence of electric vehicles has no significant effect on reducing or increasing of the operation cost in smart grid and may even reduce the operation cost in a certain number of EVs, due to their daily trips and shift from a bus to another bus, they act as a transmission line during the day and reduce the line congestion, resulting in a significant reduction in the local marginal price (LMP) in the peak load hours, and also increasing the security of the power system when the line capacity falls.

Published in American Journal of Electrical Power and Energy Systems (Volume 7, Issue 2)
DOI 10.11648/j.epes.20180702.11
Page(s) 16-24
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

EV, Line Congestion, V2G, Unit Commitment

References
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Cite This Article
  • APA Style

    Amin Niaz Azari, Soodabeh Soleymani, Babak Mozafari, Ghazaleh Sarfi. (2018). Optimal Transmission Congestion Management with V2G in Smart Grid. American Journal of Electrical Power and Energy Systems, 7(2), 16-24. https://doi.org/10.11648/j.epes.20180702.11

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    ACS Style

    Amin Niaz Azari; Soodabeh Soleymani; Babak Mozafari; Ghazaleh Sarfi. Optimal Transmission Congestion Management with V2G in Smart Grid. Am. J. Electr. Power Energy Syst. 2018, 7(2), 16-24. doi: 10.11648/j.epes.20180702.11

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    AMA Style

    Amin Niaz Azari, Soodabeh Soleymani, Babak Mozafari, Ghazaleh Sarfi. Optimal Transmission Congestion Management with V2G in Smart Grid. Am J Electr Power Energy Syst. 2018;7(2):16-24. doi: 10.11648/j.epes.20180702.11

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  • @article{10.11648/j.epes.20180702.11,
      author = {Amin Niaz Azari and Soodabeh Soleymani and Babak Mozafari and Ghazaleh Sarfi},
      title = {Optimal Transmission Congestion Management with V2G in Smart Grid},
      journal = {American Journal of Electrical Power and Energy Systems},
      volume = {7},
      number = {2},
      pages = {16-24},
      doi = {10.11648/j.epes.20180702.11},
      url = {https://doi.org/10.11648/j.epes.20180702.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20180702.11},
      abstract = {The power system operators are looking for optimizing the power generating resources in the unit commitment problems considering the binding constraints. With the reconstruction in the power network structure, the increase in electricity price during some hours of day, and increase in fuel price, the utilities need to change their management paradigms. A smart grid can be a suitable choice for addressing these issues because they are able to continue working smartly. With the progress in the technology of batteries, power electronic devices, many well-known companies such as Toyota and Tesla have started producing electric and hybrid vehicles since 1990. Introducing electric vehicles to the power system provides unprecedented environmental and economic opportunities and at the same time new challenges to deal with for the system operators. The vehicle to grid (V2G) technology can enable the electric vehicles to inject energy to the grid in addition to its regular path of receiving energy from the grid. In this paper, the effect of the technology of V2G on the operation cost and LMP with considering the line congestion limits are investigated. To solve the optimization problem, a mixed integer linear programming (MILP) technique in the GAMS software is used. The proposed method is tested on the IEEE 6 bus system and the results are presented. This simulation shows that although the presence of electric vehicles has no significant effect on reducing or increasing of the operation cost in smart grid and may even reduce the operation cost in a certain number of EVs, due to their daily trips and shift from a bus to another bus, they act as a transmission line during the day and reduce the line congestion, resulting in a significant reduction in the local marginal price (LMP) in the peak load hours, and also increasing the security of the power system when the line capacity falls.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - Optimal Transmission Congestion Management with V2G in Smart Grid
    AU  - Amin Niaz Azari
    AU  - Soodabeh Soleymani
    AU  - Babak Mozafari
    AU  - Ghazaleh Sarfi
    Y1  - 2018/05/05
    PY  - 2018
    N1  - https://doi.org/10.11648/j.epes.20180702.11
    DO  - 10.11648/j.epes.20180702.11
    T2  - American Journal of Electrical Power and Energy Systems
    JF  - American Journal of Electrical Power and Energy Systems
    JO  - American Journal of Electrical Power and Energy Systems
    SP  - 16
    EP  - 24
    PB  - Science Publishing Group
    SN  - 2326-9200
    UR  - https://doi.org/10.11648/j.epes.20180702.11
    AB  - The power system operators are looking for optimizing the power generating resources in the unit commitment problems considering the binding constraints. With the reconstruction in the power network structure, the increase in electricity price during some hours of day, and increase in fuel price, the utilities need to change their management paradigms. A smart grid can be a suitable choice for addressing these issues because they are able to continue working smartly. With the progress in the technology of batteries, power electronic devices, many well-known companies such as Toyota and Tesla have started producing electric and hybrid vehicles since 1990. Introducing electric vehicles to the power system provides unprecedented environmental and economic opportunities and at the same time new challenges to deal with for the system operators. The vehicle to grid (V2G) technology can enable the electric vehicles to inject energy to the grid in addition to its regular path of receiving energy from the grid. In this paper, the effect of the technology of V2G on the operation cost and LMP with considering the line congestion limits are investigated. To solve the optimization problem, a mixed integer linear programming (MILP) technique in the GAMS software is used. The proposed method is tested on the IEEE 6 bus system and the results are presented. This simulation shows that although the presence of electric vehicles has no significant effect on reducing or increasing of the operation cost in smart grid and may even reduce the operation cost in a certain number of EVs, due to their daily trips and shift from a bus to another bus, they act as a transmission line during the day and reduce the line congestion, resulting in a significant reduction in the local marginal price (LMP) in the peak load hours, and also increasing the security of the power system when the line capacity falls.
    VL  - 7
    IS  - 2
    ER  - 

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Author Information
  • Power Distribution Company of Semnan, Semnan, Iran

  • Electrical Department, Islamic Azad University, Science & Research Branch, Tehran, Iran

  • Electrical Department, Islamic Azad University, Science & Research Branch, Tehran, Iran

  • Electrical Department, Iran University of Science and Technology, Tehran, Iran

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