DocumentCode :
1361536
Title :
Evolutionary-programming-based algorithm for environmentally-constrained economic dispatch
Author :
Kit Po Wang ; Yuryevich, Jason
Author_Institution :
Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia
Volume :
13
Issue :
2
fYear :
1998
fDate :
5/1/1998 12:00:00 AM
Firstpage :
301
Lastpage :
306
Abstract :
This paper develops an efficient and reliable evolutionary-programming-based algorithm for solving the environmentally constrained economic dispatch (ECED) problem. The algorithm can deal with load demand specifications in multiple intervals of the generation scheduling horizon. In the paper, the principal components of the evolutionary-programming-based ECED algorithm are presented. Solution acceleration techniques in the algorithm which enhance the speed and robustness of the algorithm are developed. The power and usefulness of the algorithm is demonstrated through its application to a test system
Keywords :
economics; environmental factors; load dispatching; scheduling; acceleration techniques; environmentally-constrained economic dispatch; evolutionary-programming-based algorithm; generation scheduling horizon; load demand specifications; multiple intervals; Environmental economics; Fuel economy; Optimization methods; Pollution; Power generation economics; Power system analysis computing; Power system economics; Power system reliability; Production; Scheduling algorithm;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.667339
Filename :
667339
Link To Document :
بازگشت