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Pool strategy of a producer coordinated with vehicle-to-grid services to maximize profitability


Tavakoli, A and Negnevitsky, M and Muttaqi, KM, Pool strategy of a producer coordinated with vehicle-to-grid services to maximize profitability, 2015 Australasian Universities Power Engineering Conference (AUPEC), 27-30 September, Wollongong, NSW, pp. 1-6. ISBN 978-1-4799-8725-2 (2015) [Refereed Conference Paper]


Copyright Statement

Copyright 2015 IEEE

DOI: doi:10.1109/AUPEC.2015.7324868


This paper investigates the impact of coordinating vehicle-to-grid (V2G) services with a producer on the price amounts and the market outcomes. A stochastic intra-hour bilevel model is developed for an electricity pool including the day-ahead and real-time markets. The conditional value at risk (CVaR) function takes into account to control high trading risks which are arisen from uncertainties due to high wind penetration and EVs. The problem is formulated from a mathematical program with equilibrium constraints (MPEC) to a mixed-integer linear program (MILP). The simulation results demonstrate the benefits of coordinating V2G services with a strategic producer for the increasing profitability, social welfare and optimizing EV charging profiles.

Item Details

Item Type:Refereed Conference Paper
Keywords:electricity market equilibrium, electric vehicles, wind power, CVaR, mathematical program with equilibrium constraints (MPEC), mixed-integer linear program (MILP)
Research Division:Engineering
Research Group:Electrical engineering
Research Field:Electrical energy generation (incl. renewables, excl. photovoltaics)
Objective Division:Energy
Objective Group:Energy storage, distribution and supply
Objective Field:Energy services and utilities
UTAS Author:Tavakoli, A (Mr Ahmad Tavakoli)
UTAS Author:Negnevitsky, M (Professor Michael Negnevitsky)
ID Code:105796
Year Published:2015
Deposited By:Engineering
Deposited On:2016-01-14
Last Modified:2017-11-06
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