Title :
Decentralized congestion management in stochastic electric power markets with PHEV penetration
Author :
Ramachandran, B. ; Srivastava, S.K. ; Cartes, D.A.
Author_Institution :
Center for Adv. Power Syst., Florida State Univ., Tallahassee, FL, USA
Abstract :
In this paper, we have proposed a congestion management scheme for smart grid infrastructures to control the power absorption from the grid in the presence of PHEVs connected to the distribution network. The decentralized solution that we have developed is based on game theory and is demonstrated to converge in a finite number of steps to a pure Nash equilibrium solution. This approach is implemented for managing the power absorbed from the grid and thereby the power bought from the grid through auctions taking place in a stochastic power and energy market. Various test cases have been developed based on the agents´ strategies and also on the charging time and duration of PHEVs. The proposed approach was validated using these test cases, which were implemented in a multi agent framework.
Keywords :
hybrid electric vehicles; multi-agent systems; power distribution economics; power engineering computing; power markets; power system management; smart power grids; stochastic games; Nash equilibrium solution; PHEV penetration; agent strategy; decentralized congestion management scheme; distribution network; energy market; game theory; multiagent framework; plug in hybrid electric vehicle; power absorption control; smart grid infrastructures; stochastic electric power markets; Batteries; Generators; Nash equilibrium; Optimization; Power markets; Power systems; Vehicles; Congestion management; Nash equivilibrium; game theory; multi agent systems; plug in hybrid vehicle; stochastic power market;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6344924
