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A Linear Program for System-Level Control of Regional PHEV Charging Stations

Author(s)
Kulvanitchaiyanunt, Asama
Chen, Victoria C.P.
Rosenberger, Jay
Sarikprueck, Piampoom
Lee, Wei Jen
Date Issued
May 1, 2016
Type
Article
DOI
10.1109/TIA.2016.2517059
Abstract
This paper studies dynamic control of a system of plug-in hybrid electric vehicle (PHEV) charging stations. A finite horizon stochastic program is presented. Based upon the 15-min updated period of the electricity market price, the objective function is to maximize profit, which is the revenue benefit from selling back to the grid and the charging of the vehicles minus the cost of buying electricity from the grid. The state variables in each 15-min time period consist of the total wind purchased from the system, solar power generation at each charging station, total demand at each station, and nodal market price at stations' location. A stochastic program is formulated, and the mean value problem as a deterministic linear program is solved. Potential strategies are presented to provide insight into the behavior of the system.
Citation
IEEE Transactions on Industry Applications, 52(3), 2046-2052, 2016
Subjects

Dynamic control

mean value problem

plug-in hybrid electr...

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