DocumentCode :
2540339
Title :
Game theoretic approach for generation capacity expansion in restructured power markets
Author :
Nanduri, Vishnu ; Das, Tapas K.
Author_Institution :
Dept. of Ind. & Manage. Syst. Eng., South Florida Univ., Tampa, FL
fYear :
2008
fDate :
20-24 July 2008
Firstpage :
1
Lastpage :
3
Abstract :
With a significant number of states in the U.S. trading electricity in restructured markets, a significant proportion of capacity expansion in the future will have to take place in market based environments. However, since a majority of the literature on capacity expansion is focused on regulated market structures, there is a critical need for comprehensive multiperiod, multi-player, capacity expansion models. In this research, we present a 3-tier game theoretic model to obtain multi-period, multi-player equilibrium capacity expansion plans, while considering several relevant market features. We will develop a reinforcement learning based approach to obtain the model solution. The model will be tested on sample power networks and benchmarked using data from a currently restructured electricity market.
Keywords :
game theory; learning (artificial intelligence); power engineering computing; power markets; US trading electricity; capacity expansion; generation capacity expansion; market based environments; multiplayer equilibrium capacity expansion plans; power markets; power networks; reinforcement learning based approach; three-tier game theoretic model; Benchmark testing; Capacity planning; Electricity supply industry; Force control; Game theory; Learning; Power generation; Power markets; Power system modeling; Power system planning; Generation expansion; game theory; matrix games; reinforcement learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location :
Pittsburgh, PA
ISSN :
1932-5517
Print_ISBN :
978-1-4244-1905-0
Electronic_ISBN :
1932-5517
Type :
conf
DOI :
10.1109/PES.2008.4596577
Filename :
4596577
Link To Document :
بازگشت