Aldridge, C.J. and McKee, S. and McDonald, J.R. and Galloway, S.J. and Dahal, K.P. and Bradley, M.E. and Macqueen, J.F. (2001) Knowledge-based genetic algorithm for unit commitment. In: IEE Proceedings: Generation, Transmission and Distribution. IEEE Computer Society, pp. 146-152.
Full text not available in this repository. (Request a copy from the Strathclyde author)Abstract
A genetic algorithm (GA) augmented with knowledge-based methods has been developed for solving the unit commitment economic dispatch problem. The GA evolves a population of binary strings which represent commitment schedules. The initial population of schedules is chosen using a method based on elicited scheduling knowledge. A fast rule-based dispatch method is then used to evaluate candidate solutions. The knowledge-based genetic algorithm is applied to a test system of ten thermal units over 24-hour time intervals, including minimum on/off times and ramp rates, and achieves lower cost solutions than Lagrangian relaxation in comparable computational time.
| Item type: | Book Section |
|---|---|
| ID code: | 2002 |
| Keywords: | algorithms, computer systems, genetics, genetic algorithm, Mathematics |
| Subjects: | Science > Mathematics |
| Department: | Faculty of Science > Mathematics Faculty of Science > Mathematics and Statistics Professional Services > Corporate Services Directorate Faculty of Engineering > Electronic and Electrical Engineering |
| Related URLs: | |
| Depositing user: | Strathprints Administrator |
| Date Deposited: | 17 May 2007 |
| Last modified: | 04 Oct 2012 16:01 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/2002 |
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