Low-complexity charging/discharging scheduling for electric vehicles at home and common lots for smart households prosumers

Mehrabi, A. ORCID: 0000-0002-8758-0882 and Kim, K., 2018. Low-complexity charging/discharging scheduling for electric vehicles at home and common lots for smart households prosumers. IEEE Transactions on Consumer Electronics, 64 (3), pp. 348-355. ISSN 0098-3063

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—Plug-in electric vehicles are becoming one of indispensable prosumer electronics components for smart households and therefore, their cost efficient energy scheduling is one of the main challenging issues. In the current schemas, the charging and discharging interval of the vehicles are normally announced by the owners in advance leading to the suboptimal profit gain in some situations and hence consumers dissatisfaction. In this paper, we propose an efficient charging/discharging scheduling mechanism for electric vehicles in multiple homes common parking lot for smart households prosumers. The proposed mechanism takes into account the optimal interval allocation considering the instantaneous electricity load and the vehicles request pattern. Based on the data from the vehicles, a mixed optimization model is formulated by the central scheduler which aims to maximize the profit of consumers and is then solved using an effective algorithm. The optimization results are then sent to the system controller determining the interval and energy trading patterns between the power grid and the vehicles. The proposed algorithm has low complexity and ensures the energy satisfaction for all consumers. The performance of the scheduling schema is verified through multiple simulation scenarios.

Item Type: Journal article
Publication Title: IEEE Transactions on Consumer Electronics
Creators: Mehrabi, A. and Kim, K.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: August 2018
Volume: 64
Number: 3
ISSN: 0098-3063
Divisions: Schools > School of Science and Technology
Record created by: Linda Sullivan
Date Added: 18 Sep 2019 15:17
Last Modified: 24 Sep 2019 12:08
URI: https://irep.ntu.ac.uk/id/eprint/37697

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