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

Parinaz Aliasghari, Behnam Mohammadi-Ivatloo, Mehdi Abapour, Ali Ahmadian and Ali Elkamel
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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
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
Ali Elkamel: College of Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada

Energies, 2020, vol. 13, issue 7, 1-12

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.

Keywords: Goal programming (GP); stochastic programming; uncertainty; contract price; electric vehicle (EV) owners; electric vehicle aggregator (EVA) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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