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Cited by 263

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

A Heuristic Operation Strategy for Commercial Building Microgrids Containing EVs and PV System

Liu, Nian, Chen, Qifang, Liu, Jie, Lu, Xinyi, Li, Peng, Lei, Jinyong, Zhang, Jianhua·2015·IEEE Transactions on Industrial Electronics

Abstract

Commercial building microgrids will play an important role in the smart energy city. Stochastic and uncoordinated electric vehicle (EV) charging activities, which may cause performance degradations and overloads, have put great stress on the distribution system. In order to improve the self-consumption of PV energy and reduce the impact on the power grid, a heuristic operation strategy for commercial building microgrids is proposed. The strategy is composed of three parts: the model of EV feasible charging region, the mechanism of dynamical event triggering, and the algorithm of real-time power allocation for EVs. Furthermore, in order to lower the cost of computation resource, the strategy is designed to operate without forecasting on photovoltaic output or EV charging demand. A comprehensive result obtained from simulation tests has shown that the proposed strategy has both satisfactory results and high efficiency, which can be utilized in embedded systems for real-time allocation of EV charging rate.

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Metadata

Authors
Liu, N., Chen, Q., Liu, J., Lu, X., Li, P., Lei, J., & Zhang, J.
Venue
IEEE Transactions on Industrial Electronics
Published
2015-04
Volume
62
Issue
4
Pages
2560-2570
ISSN
  • 0278-0046 (ISSN-L)
  • 1557-9948
OpenAlex
W2014666162
Cited by
263
References
2
FWCI
13.27
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Heuristic Operation Strategy for Commercial Building Microgrids Containing EVs and PV System. https://app.cochat.ai/papers/10.1109/tie.2014.2364553
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Liu, N., Chen, Q., Liu, J., Lu, X., Li, P., Lei, J., & Zhang, J. (2015). A Heuristic Operation Strategy for Commercial Building Microgrids Containing EVs and PV System. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2014.2364553

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