Electric Vehicle Charging Station Expansion Plans Under Uncertainty

Marufuzzaman, Mohammad; Usher, John M.; Mississippi State University. Industrial and Systems Engineering Department

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Electric Vehicle Charging Station Expansion Plans Under Uncertainty

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

[PDF-823.55 KB]

English

Details You May Also Like

Details:

Creators:

Marufuzzaman, Mohammad ; Usher, John M.

Marufuzzaman, Mohammad ; Usher, John M. Less -
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.)

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

[+]

Algorithms Battery Charging Stations (Electric Vehicles) Electric Vehicle Charging Electric Vehicles Mixed Integer Programming Optimization Planning
Publication/ Report Number:

NCITEC Project 2016-17
Resource Type:

Tech Report
Geographical Coverage:

United States ; Washington (District of Columbia)

United States ; Washington (District of Columbia) Less -
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
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:fe436444e3fefd7f8dd89e933c3aa0db0a1b01cac5e40d4f7d8308721625b74d
Download URL:

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

No Additional Files

More +

Electric Vehicle Charging Station Expansion Plans Under Uncertainty

Details:

Supporting Files

You May Also Like