NDLI: Optimal Integration of Plug-In Hybrid Electric Vehicles in Microgrids

Content Provider	IEEE Xplore Digital Library
Author	Changsong Chen Shanxu Duan
Copyright Year	2005
Abstract	Plug-in hybrid electric vehicles' (PHEVs) integration can result in additional electricity consumers and electricity suppliers in microgrids (MGs). This paper presents a new method for optimal integration of PHEVs in MGs, which considers the optimal number of parking numbers under optimal scheduling of PHEVs. Due to the uncertainty of solar energy, the radial basis function network (RBFN) techniques are used for forecasting photovoltaic (PV) power output. Monte Carlo simulation is used to deal with the uncertainties associated with the daily distance driven of the PHEVs, load values, and electricity market price. The objective is the minimization of total cost (TC) and optimal set of the optimization problem is found using genetic algorithm (GA) method. In order to verify the effectiveness of the proposed method, two market policies are used as case studies. The computation results can be used to evaluate the impact of PHEVs' integration on economical performance of MGs.
Sponsorship	IEEE Industrial Electronics Society
Starting Page	1917
Ending Page	1926
Page Count	10
File Size	2295600
File Format	PDF
ISSN	15513203
Volume Number	10
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Batteries Microgrids Forecasting Energy storage Plug-in hybrid electric vehicles plug-in hybrid electric vehicle (PHEV) Economic analysis energy storage system (ESS) microgrid (MG) optimal integration
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Information Systems Electrical and Electronic Engineering Computer Science Applications

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