Co-Optimized Parking Lot Placement and Incentive Design for Promoting PEV Integration Considering Decision-Dependent Uncertainties

This article proposes a new planning framework for optimal allocation of parking lot (PL)-based charging infrastructures to facilitate the efficient integration of plug-in electric vehicles (PEVs). Unlike existing works, the present article explicitly considers the uncertain implications of incentiv...

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Veröffentlicht in:	IEEE transactions on industrial informatics Jg. 17; H. 3; S. 1863 - 1872
Hauptverfasser:	Zeng, Bo, Feng, Jiahuan, Liu, Nian, Liu, Yixian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.03.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Batteries Charging Contracts Decision theory Decision-dependent uncertainty Electric vehicles Genetic algorithms incentive Parking facilities parking lot Planning plug-in electric vehicle (PEV) Randomness regret-matching Resource management Stochastic processes Uncertainty Vehicle-to-grid
ISSN:	1551-3203, 1941-0050
Online-Zugang:	Volltext
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