Immune Log-Normal Evolutionary Programming (ILNEP) for solving economic dispatch problem with prohibited operating zones
Computer programming; Electric power system planning; Electric power systems; Evolutionary algorithms; Immune system; Problem solving; Scheduling; Artificial Immune System; Economic Dispatch; Economic dispatch problems; Electrical power system; Log-normal; Optimization techniques; Prohibited operati...
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2023
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my.uniten.dspace-231972023-05-29T14:38:21Z Immune Log-Normal Evolutionary Programming (ILNEP) for solving economic dispatch problem with prohibited operating zones Mansor M.H. Musirin I. Othman M.M. 56372667100 8620004100 35944613200 Computer programming; Electric power system planning; Electric power systems; Evolutionary algorithms; Immune system; Problem solving; Scheduling; Artificial Immune System; Economic Dispatch; Economic dispatch problems; Electrical power system; Log-normal; Optimization techniques; Prohibited operating zone; Reliability test system; Electric load dispatching Economic dispatch is an important issue in electrical power system planning and operation. Its aim is to dispatch electricity to the consumers at minimal economic cost, while satisfying system constraints. Prohibited operating zones is one of the constraints which requires attention. This paper presents an efficient optimization technique termed as Immune Log-Normal Evolutionary Programming (ILNEP) to solve economic dispatch problem with prohibited operating zones. The proposed ILNEP optimization technique to solve economic dispatch problem with prohibited operating zones has been tested on the IEEE 26-Bus Reliability Test System (RTS). The proposed method has been tested on three case studies with different load conditions, for validation of its effectiveness. The three case studies are lightly loaded, mediumly loaded and heavily loaded. Comparison of results among ILNEP, artificial immune system (AIS) and evolutionary programming (EP) have been made and it revealed that ILNEP outperformed AIS and EP in giving the lowest total production cost. � 2017 IEEE. Final 2023-05-29T06:38:21Z 2023-05-29T06:38:21Z 2017 Conference Paper 10.1109/IEA.2017.7939199 2-s2.0-85021450702 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021450702&doi=10.1109%2fIEA.2017.7939199&partnerID=40&md5=aa48a900ccfb83a549fe772fa76a7163 https://irepository.uniten.edu.my/handle/123456789/23197 7939199 163 167 Institute of Electrical and Electronics Engineers Inc. Scopus |
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Computer programming; Electric power system planning; Electric power systems; Evolutionary algorithms; Immune system; Problem solving; Scheduling; Artificial Immune System; Economic Dispatch; Economic dispatch problems; Electrical power system; Log-normal; Optimization techniques; Prohibited operating zone; Reliability test system; Electric load dispatching |
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56372667100 |
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56372667100 Mansor M.H. Musirin I. Othman M.M. |
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Conference Paper |
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Mansor M.H. Musirin I. Othman M.M. |
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Mansor M.H. Musirin I. Othman M.M. Immune Log-Normal Evolutionary Programming (ILNEP) for solving economic dispatch problem with prohibited operating zones |
author_sort |
Mansor M.H. |
title |
Immune Log-Normal Evolutionary Programming (ILNEP) for solving economic dispatch problem with prohibited operating zones |
title_short |
Immune Log-Normal Evolutionary Programming (ILNEP) for solving economic dispatch problem with prohibited operating zones |
title_full |
Immune Log-Normal Evolutionary Programming (ILNEP) for solving economic dispatch problem with prohibited operating zones |
title_fullStr |
Immune Log-Normal Evolutionary Programming (ILNEP) for solving economic dispatch problem with prohibited operating zones |
title_full_unstemmed |
Immune Log-Normal Evolutionary Programming (ILNEP) for solving economic dispatch problem with prohibited operating zones |
title_sort |
immune log-normal evolutionary programming (ilnep) for solving economic dispatch problem with prohibited operating zones |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2023 |
_version_ |
1806426003501744128 |
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13.222552 |