DocumentCode :
1028241
Title :
Multi-Area Power Generation Dispatch in Competitive Markets
Author :
Yingvivatanapong, Chitra ; Lee, Wei-Jen ; Liu, Edwin
Author_Institution :
Nexant Inc., Chandler
Volume :
23
Issue :
1
fYear :
2008
Firstpage :
196
Lastpage :
203
Abstract :
In competitive electric energy markets, the power generation dispatch optimization is one of the most important missions among generation companies-how to respond to the markets, dispatch their units, and maximize profits. This paper proposes an approach to incorporate power contracts, which include call and put options, forward contracts, and reliability must-run contracts, into multi-area unit commitment and economic dispatch solutions. The proposed solution algorithm is based on adaptive Lagrangian relaxation, unit decommitment, and lambda-iteration methods. The problem formulation consists of three stages: 1) the incorporation of the power contracts, 2) the multi-area unit commitment, and 3) the multi-area economic dispatch. The proposed algorithm has been successfully implemented, and its testing results on modified IEEE test cases are promising.
Keywords :
contracts; iterative methods; power generation dispatch; power generation economics; power generation reliability; power generation scheduling; power markets; IEEE test; adaptive Lagrangian relaxation; competitive electric energy markets; economic dispatch solution; incorporate power contracts; lambda-iteration methods; multiarea power generation dispatch; multiarea unit commitment; reliability must-run contracts; unit decommitment; Contracts; Cost function; Economic forecasting; Fuel economy; Lagrangian functions; Power generation; Power generation dispatch; Power generation economics; Spinning; Testing; Bilateral contracts; Lagrangian function; Lagrangian relaxation; multi-area power generation dispatch; reliability must-run contract; unit commitment and decommitment;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2007.913304
Filename :
4425384
Link To Document :
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