Volume 17, Issue 2 (5-2020)
jor 2020, 17(2): 9-25 |
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Khodayifar S, Babaloo D. Accelerating Benders’ Approach for the Scheduling of Charging and Discharging of Electric Vehicles in Smart Grids. jor 2020; 17 (2) :9-25
URL: http://jamlu.liau.ac.ir/article-1-1578-en.html
URL: http://jamlu.liau.ac.ir/article-1-1578-en.html
Department of Mathematics, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran
Abstract: (2208 Views)
In the present century, environmentalism has become an important global issue. Electric vehicles (EVs) are becoming an attractive alternative to gasoline vehicles owing to the environmentalism constraints and the increase of greenhouse gas emissions and gasoline prices. However, the rapid growth in electricity demand may cause large and undesirable peak loads in the power grid. Fortunately, electric vehicles can flexibly coordinate charge schedules, which requires smart charge and discharge scheduling algorithms. In this paper, we consider a mathematical model of Mixed Integer Linear Programming (MILP) to schedule charging and discharging of electric vehicles to smart grid power and the considered model is solved by using the exact Benders decomposition method and Benders' method with Pareto-optimal cuts. Finally, we will check the performance of the proposed model and algorithms with numerical results.
Keywords: Smart Grids, Optimum Scheduling, Mathematical Modeling, Benders Decomposition Approach, Pareto- Optimal Cuts.
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