Loading...
Generation scheduling using genetic algorithm based hybrid techniques
Dahal, Keshav P. ; Galloway, S.J. ; Burt, G.M. ; McDonald, J.R.
Dahal, Keshav P.
Galloway, S.J.
Burt, G.M.
McDonald, J.R.
Publication Date
2001
End of Embargo
Supervisor
Rights
Copyright © [2001] IEEE. Reprinted from Proceedings of
Large Engineering Systems Conference on Power Engineering (LESCOPE2001).
This material is posted here with permission of the IEEE. Such permission of the
IEEE does not in any way imply IEEE endorsement of any of the University of
Bradford's products or services. Internal or personal use of this material is
permitted. However, permission to reprint/republish this material for advertising or
promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubspermissions@
ieee.org. By choosing to view this document, you agree to all provisions of the
copyright laws protecting it.
Peer-Reviewed
Yes
Open Access status
openAccess
Accepted for publication
Institution
Department
Awarded
Embargo end date
Additional title
Abstract
The solution of generation scheduling (GS) problems
involves the determination of the unit commitment (UC) and
economic dispatch (ED) for each generator in a power system at
each time interval in the scheduling period. The solution
procedure requires the simultaneous consideration of these two
decisions. In recent years researchers have focused much
attention on new solution techniques to GS. This paper proposes
the application of a variety of genetic algorithm (GA) based
approaches and investigates how these techniques may be
improved in order to more quickly obtain the optimum or near
optimum solution for the GS problem. The results obtained show
that the GA-based hybrid approach offers an effective alternative
for solving realistic GS problems within a realistic timeframe.
Version
Published version
Citation
Dahal K. P., Galloway, S. J., Burt, G. M. and McDonald, J. R. (2001)
Generation scheduling using genetic algorithm based hybrid techniques. In:
Proceedings of Large Engineering Systems Conference on Power Engineering
(LESCOPE2001), 11-13th July, Nova Scotia, Canada. New York: IEEE. pp. 74-
78.
Link to publisher’s version
Link to published version
Link to Version of Record
Type
Conference paper