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Title
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Goal Programming Application for Contract Pricing of Electric Vehicle Aggregator in Join Day-Ahead Market
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Type
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JournalPaper
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Keywords
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Goal programming (GP); stochastic programming; uncertainty; contract price; electric vehicle (EV) owners; electric vehicle aggregator (EVA)
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Abstract
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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 di erent aims: the optimal value for increasing electric vehicle aggregator (EVA) profit negatively a ects 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 di erent performance measures. Furthermore, optimal scheduling of electric vehicle aggregators in the day-ahead market is created.
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Researchers
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Ali Elkamel (Fifth Researcher), Ali Ahmadian (Fourth Researcher), Mehdi Abapour (Third Researcher), Behnam Mohammadi-ivatloo (Second Researcher), Parinaz Aliasghari (First Researcher)
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