NDLI: Stochastic optimization for economic operation of plug-in electric vehicle charging stations at a municipal parking deck integrated with on-site renewable energy generation

Content Provider	IEEE Xplore Digital Library
Author	Yi Guo Jian Hu Wencong Su
Copyright Year	2014
Description	Author affiliation: Univ. of Michigan-Dearborn, Dearborn, MI, USA (Yi Guo; Jian Hu; Wencong Su)
Abstract	This paper addresses a novel framework for the economic operation of plug-in electric vehicle (PEV) parking decks integrated with on-site renewable energy generation (e.g., roof-top photovoltaic panel). Although the PEV parking decks may enable greater adoption of renewable energy sources by scheduling charging loads to coincide with periods of strong sun, the inherent intermittency and variability of renewable energy resources may complicate the economic operation of PEV parking decks. The proposed framework provides the parking deck operators with a stochastic analytical tool to make an optimal decision on hourly electricity sale prices and the parking fee over the next 24 hours. The stochastic approach includes the consideration of the forecasting errors of variable solar power output and the customers' charging demand. The case studies demonstrate the effectiveness of the proposed stochastic approach under a variety of charging schemes, price schedules and operational conditions, and also verify the feasibility and accuracy of this novel framework.
Sponsorship	IEEE Ind. Appl. Soc.
Starting Page	1
Ending Page	6
File Size	728854
Page Count	6
File Format	PDF
ISBN	9781479922628
DOI	10.1109/ITEC.2014.6861799
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Economics PEV Charging Infrastructure Renewable energy sources Uncertainty Solar Energy Electricity Stochastic processes Solar energy Renewable Energy Mathematical model Plug-in Electric Vehicle (PEV) Smart Grid
Content Type	Text
Resource Type	Article

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