A hybrid optimization technique for solving economic dispatch problem
Computer programming; Costs; Heuristic methods; Optimization; Problem solving; Scheduling; Artificial Immune System; Economic dispatch problems; Meta-heuristic techniques; Operational planning; Optimization techniques; Population-based optimization; Power system engineers; Total production cost; Ele...
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2023
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my.uniten.dspace-237532023-05-29T14:51:32Z A hybrid optimization technique for solving economic dispatch problem Mansor M.H. Raja Kechek R.M.S. Musirin I. Rahmat N.A. Rahman M.S.A. Roslan N. Abdullah M.N. Shaaya S.A. Aziz N.F.A. 56372667100 57203358745 8620004100 55647163881 36609854400 57205233093 55193828700 16022846200 57221906825 Computer programming; Costs; Heuristic methods; Optimization; Problem solving; Scheduling; Artificial Immune System; Economic dispatch problems; Meta-heuristic techniques; Operational planning; Optimization techniques; Population-based optimization; Power system engineers; Total production cost; Electric load dispatching Economic dispatch (ED) is one the main power system problems solved during operational planning phase. It is solved by power system engineers with the objective to find the best setting of dispatchable generating units output so that the total production cost is cheap and at the same time abiding the system constraints. For the past ten years, researchers and engineers have been focusing on hybrid optimization techniques to solve ED problems. The strength of each hybridized technique is combined to form an improved optimization technique. Most of the hybrid techniques are combination of two or more meta-heuristic techniques. This paper proposed a new hybrid technique termed as immune evolutionary programming (IEP) to solve economic dispatch problem. The technique is a combination of two population based optimization techniques which are artificial immune system (AIS) and evolutionary programming (EP). In order to study the effectiveness of the proposed technique, the results produced have been compared with the results produced using AIS and EP techniques. It is found that IEP succeeded to give the lowest total production cost compared to the other two techniques. � Published under licence by IOP Publishing Ltd. Final 2023-05-29T06:51:32Z 2023-05-29T06:51:32Z 2018 Conference Paper 10.1088/1742-6596/1049/1/012035 2-s2.0-85051374808 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051374808&doi=10.1088%2f1742-6596%2f1049%2f1%2f012035&partnerID=40&md5=aaa6f5c6648a76ddbec8a5f208d479b4 https://irepository.uniten.edu.my/handle/123456789/23753 1049 1 12035 All Open Access, Bronze Institute of Physics Publishing Scopus |
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| description |
Computer programming; Costs; Heuristic methods; Optimization; Problem solving; Scheduling; Artificial Immune System; Economic dispatch problems; Meta-heuristic techniques; Operational planning; Optimization techniques; Population-based optimization; Power system engineers; Total production cost; Electric load dispatching |
| author2 |
56372667100 |
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56372667100 Mansor M.H. Raja Kechek R.M.S. Musirin I. Rahmat N.A. Rahman M.S.A. Roslan N. Abdullah M.N. Shaaya S.A. Aziz N.F.A. |
| format |
Conference Paper |
| author |
Mansor M.H. Raja Kechek R.M.S. Musirin I. Rahmat N.A. Rahman M.S.A. Roslan N. Abdullah M.N. Shaaya S.A. Aziz N.F.A. |
| spellingShingle |
Mansor M.H. Raja Kechek R.M.S. Musirin I. Rahmat N.A. Rahman M.S.A. Roslan N. Abdullah M.N. Shaaya S.A. Aziz N.F.A. A hybrid optimization technique for solving economic dispatch problem |
| author_sort |
Mansor M.H. |
| title |
A hybrid optimization technique for solving economic dispatch problem |
| title_short |
A hybrid optimization technique for solving economic dispatch problem |
| title_full |
A hybrid optimization technique for solving economic dispatch problem |
| title_fullStr |
A hybrid optimization technique for solving economic dispatch problem |
| title_full_unstemmed |
A hybrid optimization technique for solving economic dispatch problem |
| title_sort |
hybrid optimization technique for solving economic dispatch problem |
| publisher |
Institute of Physics Publishing |
| publishDate |
2023 |
| _version_ |
1806428292368039936 |
| score |
13.222552 |