Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Multi-disciplinary Studies | en_US |
| dc.contributor | Department of Electrical Engineering | en_US |
| dc.creator | So, Wai-sing James | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/2100 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Economic dispatch in power system by Genetic Algorithm and Dynamic Programming | en_US |
| dcterms.abstract | This paper develops an economic dispatch algorithm for the determination of the optimum dispatch solution. Genetic algorithm and Dynamic Programming are two approaches widely used in problem solving. Genetic Algorithms are general-purpose search algorithms based upon the principles of evolution observed in nature. While Dynamic Programming is a nature, powerful and effectiveness approach to reveal the basic solution with a more spreads of operations. In the algorithm, the load balance constraint, the operating limit constraints are accounted for. Adjustment and modification for the two approaches are discussed. In the development of the algorithm, transmission losses are incorporated in the algorithm through the use of the B-matrix loss formula. A test system is used to demonstrate the economic dispatch application of the Genetic Algorithm and Dynamic Programming. Furthermore, the comparison between the two approaches has been discussed. | en_US |
| dcterms.extent | 64 leaves : ill. ; 30 cm | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2001 | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.LCSH | Electric power systems | en_US |
| dcterms.LCSH | Genetic algorithms | en_US |
| dcterms.LCSH | Dynamic programming | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b1599630x.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.49 MB | Adobe PDF | View/Open |
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