By Topic

Auction implementation problems using Lagrangian relaxation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
S. Dekrajangpetch ; Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA ; G. B. Sheble ; A. Conejo

Lagrangian relaxation (LR) is used as an auction method for bidding in a deregulated environment. This paper focuses on the problems that occur while using LR as an auction method. Identical or similar units can prevent LR from finding the optimal solution. If the units are similar, LR may have trouble selecting some of them for the optimal solution. A feasible solution may thus not be found. Since a heuristic selection of which unit data to alter has to be applied, this is inequitable to the unit(s) not selected and may result in lawsuit(s). Because the dispatcher has to use heuristic selection, there is no “fair” solution to these problems. The authors suggest previously published methods to implement auctions. Sensitivity analysis has also been applied in this paper to show that the percentage difference of similarity between units may affect the solution found

Published in:

IEEE Transactions on Power Systems  (Volume:14 ,  Issue: 1 )