Electric Vehicle Charging Station Expansion Plans Under Uncertainty

Marufuzzaman, Mohammad; Usher, John M.

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Electric Vehicle Charging Station Expansion Plans Under Uncertainty

2016-12-01
By Marufuzzaman, Mohammad ; Usher, John M.

File Language:

English

Details

Creators:

Marufuzzaman, Mohammad ; Usher, John M.
Corporate Creators:

Mississippi State University. Industrial and Systems Engineering Department
Corporate Contributors:

Mississippi State University. National Center for Intermodal Transportation for Economic Competitiveness ; University Transportation Centers Program (U.S.)
Subject/TRT Terms:
Publication/ Report Number:

NCITEC Project 2016-17
Resource Type:

Tech Report
Geographical Coverage:

United States ; Washington (District of Columbia)
TRIS Online Accession Number:

01627918
Edition:

Final Report
Corporate Publisher:

Mississippi State University. National Center for Intermodal Transportation for Economic Competitiveness
Abstract:

With the advancement of battery technologies, more electric vehicles are expected to get introduced in the market. The energy needed to run those batteries is enormous. This calls for developing optimization models that help governments plan for energy expansion and to coordinate the efforts between energy suppliers and charging station investors. To supply this need, in this paper we propose a two-stage stochastic mixed-integer programming (MIP) formulation to establish a dynamic multi-period plan that maximizes the expected monetary return from expanding power cells to electric vehicle charging stations over a pre-specified planning horizon. We propose a Sample Average Approximation (SAA) algorithm to solve our proposed optimization model. We choose Washington, DC as a testing ground to visualize and validate the modeling results.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/35004/dot_35004_DS1.pdf
File Type:

[PDF - 823.55 KB]
Collection(s):

University Transportation Centers ; US Transportation Collection
Main Document Checksum:

urn:sha256:fe436444e3fefd7f8dd89e933c3aa0db0a1b01cac5e40d4f7d8308721625b74d

File Language:

English

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