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.
Original language | English |
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Title of host publication | LESCOPE 01 |
Subtitle of host publication | 2001 Large engineering systems conference on power engineering, conference proceedings |
Place of Publication | New York |
Publisher | IEEE |
Pages | 74-78 |
Number of pages | 4 |
ISBN (Print) | 0780371070 |
DOIs | |
Publication status | Published - 2001 |
Event | Large Engineering Systems Conference on Power Engineering - Halifax, Canada Duration: 11 Jul 2001 → 13 Jul 2001 |
Conference
Conference | Large Engineering Systems Conference on Power Engineering |
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Country/Territory | Canada |
City | Halifax |
Period | 11/07/01 → 13/07/01 |
Keywords
- generation scheduling
- genetic algorithm
- hybrid techniques