DocumentCode
2088295
Title
A genetic algorithm-based approach to economic dispatch of power systems
Author
Ma, H. ; El-Keib, A.A. ; Smith, R.E.
Author_Institution
Dept. of Electr. Eng., Alabama Univ., Tuscaloosa, AL, USA
fYear
1994
fDate
10-13 Apr 1994
Firstpage
212
Lastpage
216
Abstract
In view of the Clean Air Act (CAA) of 1990, the economic dispatch problem considering the compensating generation plan provided in the Act is nonlinear, ill-structured and multimodal. This paper presents a genetic algorithm (GA) based approach to solve this problem. Test results show that the genetic algorithm-based approach produces significantly better solutions compared against those obtained using the standard economic dispatch approach. It also proves the robustness of this algorithm in solving this type of optimization problem
Keywords
air pollution detection and control; economics; genetic algorithms; load dispatching; power systems; thermal power stations; Clean Air Act; compensating generation plan; economic dispatch; genetic algorithm; optimization; power systems; robustness; Computer aided analysis; Cost function; Environmental economics; Fuel economy; Genetic algorithms; Power generation economics; Power system economics; Power systems; Production systems; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Southeastcon '94. Creative Technology Transfer - A Global Affair., Proceedings of the 1994 IEEE
Conference_Location
Miami, FL
Print_ISBN
0-7803-1797-1
Type
conf
DOI
10.1109/SECON.1994.324300
Filename
324300
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