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Goal Programming Application for Contract Pricing of Electric Vehicle Aggregator in Join Day-Ahead Market

Author

Listed:
  • Parinaz Aliasghari

    (Department of Power Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 5166616471, Iran)

  • Behnam Mohammadi-Ivatloo

    (Department of Power Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 5166616471, Iran
    Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam)

  • Mehdi Abapour

    (Department of Power Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 5166616471, Iran)

  • Ali Ahmadian

    (Department of Electrical Engineering, University of Bonab, Bonab 5551761167, Iran
    College of Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada)

  • Ali Elkamel

    (College of Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
    College of Engineering, Khalifa University of Science and Technology, Abu Dhabi 127788, UAE)

Abstract

Selecting an appropriate contract price between electric vehicle aggregators and electric vehicle owners is an uncertain, multi-criteria decision-making issue. In addition, the results can cause strong conflict due to different aims: the optimal value for increasing electric vehicle aggregator (EVA) profit negatively affects the cost for owners. The value of the contract price can change the optimal scheduling of EVAs in the day-ahead market. Taking into consideration this context, the current paper proposes to solve the multi-objective scheduling problem of an aggregator with a goal programming approach. The presented approach sets a satisfaction level for each goal according to decision-makers’ preference. Numerical results illustrate the validity of this approach to balance different performance measures. Furthermore, optimal scheduling of electric vehicle aggregators in the day-ahead market is created.

Suggested Citation

  • Parinaz Aliasghari & Behnam Mohammadi-Ivatloo & Mehdi Abapour & Ali Ahmadian & Ali Elkamel, 2020. "Goal Programming Application for Contract Pricing of Electric Vehicle Aggregator in Join Day-Ahead Market," Energies, MDPI, vol. 13(7), pages 1-12, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1771-:d:342317
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    References listed on IDEAS

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    Cited by:

    1. Isaias Gomes & Rui Melicio & Victor Mendes, 2020. "Comparison between Inflexible and Flexible Charging of Electric Vehicles—A Study from the Perspective of an Aggregator," Energies, MDPI, vol. 13(20), pages 1-13, October.
    2. Helena Gaspars-Wieloch, 2020. "A New Application for the Goal Programming—The Target Decision Rule for Uncertain Problems," JRFM, MDPI, vol. 13(11), pages 1-14, November.
    3. António Sérgio Faria & Tiago Soares & Tiago Sousa & Manuel A. Matos, 2020. "Participation of an EV Aggregator in the Reserve Market through Chance-Constrained Optimization," Energies, MDPI, vol. 13(16), pages 1-12, August.

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