A chance constraint approach to peak mitigation in electric vehicle charging stations. (English) Zbl 1478.90004
Summary: The increased penetration of plug-in electric vehicles asks for efficient algorithms to be adopted in parking lots equipped with charging units. In this paper, the peak power minimization problem for a plug-in charging station is addressed. A chance constraint approach is adopted in order to minimize the daily peak power, allowing for a tolerance on the charging service customer satisfaction expressing the probability that a vehicle leaves the station violating the agreed level of charge. Numerical simulations are provided to evaluate the performance of the proposed approach as well as to make a comparison with other techniques.
MSC:
| 90-10 | Mathematical modeling or simulation for problems pertaining to operations research and mathematical programming |
| 90C47 | Minimax problems in mathematical programming |
| 91B76 | Environmental economics (natural resource models, harvesting, pollution, etc.) |
Keywords:
plug-in electric vehicles; EV parking lots; optimization; chance constraints; smart charging; peak reductionReferences:
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