DocumentCode :
1020628
Title :
Decentralized optimal power pricing: the development of a parallel program
Author :
Lumetta, S. ; Murphy, Liam ; Xiaoye Li ; Culler, D.C. ; Khalil, Lsmail S.
Author_Institution :
Dept. of Comput. Sci., California Univ., Berkeley, CA, USA
Volume :
1
Issue :
4
fYear :
1993
Firstpage :
23
Lastpage :
31
Abstract :
An algorithm for solving a large-scale optimization problem concerning decentralized pricing of electrical power has been implemented. To help abstract the communication and layout requirements of the problem away from the main algorithm, a small object system library has been developed. The results are an efficient and easily modifiable solution to the problem and a general approach to solving this class of problems. The formulation of the problem and the object system are considered in detail.<>
Keywords :
costing; parallel programming; power engineering computing; power systems; tariffs; decentralized optimal power pricing; electrical power; large-scale optimization problem; layout requirements; object system library; parallel program; Iterative algorithms; Large-scale systems; Libraries; Parallel programming; Power distribution; Power generation; Power systems; Pricing; Substations; Workstations;
fLanguage :
English
Journal_Title :
Parallel & Distributed Technology: Systems & Applications, IEEE
Publisher :
ieee
ISSN :
1063-6552
Type :
jour
DOI :
10.1109/88.260287
Filename :
260287
Link To Document :
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