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Creators/Authors contains: "Egbue, Ona"

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  1. ; ; ; (, International Journal of Electrical Power & Energy Systems)
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  2. (, Proceedings of the 6th International Conference on Smart and Sustainable Technologies)
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  3. ; ; (, Proceedings of the 2020 IEEE Green Technologies Conference)
    null (Ed.)
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  4. ; ; (, 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference)
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  5. ; (, Proceedings of the 2019 Institute of Industrial and Systems Engineers Annual Conference)
    This study develops a multi-objective optimization model that considers the preferences of stakeholders in a vehicle-to-grid system. The optimization problem is formulated using a mixed integer linear programming (MILP) model with objectives to meet the requirements of the aggregator and electric vehicle owners. The first objective aims to minimize the customer’s charging cost while also maximizing the earnings of the customer from discharging to the grid during periods of peak demand while the second objective ensures that the aggregator’s profit is maximized. Simulations using time series over a 48-hour period show the results of the two objectives solved together as a multi-objective problem. Pareto front is used to show the relationship between the two conflicting objectives and for selecting a solution depending on the decision maker’s preferences. 
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