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161006-1 Report Abstract

Developing Infrastructure for Interconnecting Transportation Network and Electric Grid, Seok Kim and Ivan Damnjanovic

Texas A&M University, September 2011, 121 pp. (161006-1)

This report is primarily focused on the development of mathematical models that can be used to support decisions regarding a charging station location and installation problem. The major parts of developing the models included identification of the problem, development of mathematical models in the form of bilevel and stochastic programming problems, and development of a solution approach using a meta-heuristic method. PEV parking building problem was formulated as a bilevel programming problem in order to consider interaction between transportation flow and a manager decisions, while the charging station installation problem was formulated as a stochastic programming problem in order to consider uncertainty in parameters. In order to find the best-quality solution, a genetic algorithm method was used because the formulation problems are NP-hard. In addition, the Monte Carlo bounding method was used to solve the stochastic program with continuous distributions. The results of this study provide managerial implications for developers and operators of parking building.


Keywords: PEV, Parking Building,  Charging Station, Decision-Support Model, Transportation Network, Electric Power Network

ENTIRE REPORT (Adobe Acrobat File – 6.2 MB)