Cohesive meta-heuristic approach for solving combined economic and emission load dispatch
This paper proposes a new approach of solving optimization problem especially in combined economic emission load dispatch (CEELD) called cohesive meta-heuristic. CEELD is one of the challenging power system operation problems which considering the minimization of cost of power generation as well as...
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Universiti Malaysia Pahang
2020
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my.ump.umpir.285912021-02-08T09:02:43Z http://umpir.ump.edu.my/id/eprint/28591/ Cohesive meta-heuristic approach for solving combined economic and emission load dispatch Mohd Herwan, Sulaiman Zuriani, Mustaffa Omar, Aliman QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering This paper proposes a new approach of solving optimization problem especially in combined economic emission load dispatch (CEELD) called cohesive meta-heuristic. CEELD is one of the challenging power system operation problems which considering the minimization of cost of power generation as well as emission level simultaneously. These two objectives are contrary each other which is difficult to solve and for this paper, these two objectives are convert into a single objective by introducing weightage and cost penalty factor. Cohesive meta-heuristic on the other hand is the new terminology of cooperation of existing meta-heuristic algorithms to obtain a better solution. In order to show the effectiveness of proposed method, 40-units generators system will be utilized and compared with the other methods. Universiti Malaysia Pahang 2020 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/28591/1/39.%20Cohesive%20meta-heuristic%20approach%20for%20solving%20combined.pdf pdf en http://umpir.ump.edu.my/id/eprint/28591/2/39.1%20Cohesive%20meta-heuristic%20approach%20for%20solving%20combined.pdf Mohd Herwan, Sulaiman and Zuriani, Mustaffa and Omar, Aliman (2020) Cohesive meta-heuristic approach for solving combined economic and emission load dispatch. In: 12th Asian Conference on Intelligent Information and Database Systems(ACIIDS 2020), 23 - 26 March 2020 , Phuket, Thailand. pp. 1-10.. (Unpublished) |
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QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering Mohd Herwan, Sulaiman Zuriani, Mustaffa Omar, Aliman Cohesive meta-heuristic approach for solving combined economic and emission load dispatch |
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This paper proposes a new approach of solving optimization problem especially in combined economic emission load dispatch (CEELD) called cohesive meta-heuristic. CEELD is one of the challenging power system operation problems which considering the minimization of cost of power generation as well as emission level simultaneously. These two objectives are contrary each other which is difficult to solve and for this paper, these two objectives are convert into a single objective by introducing weightage and cost penalty factor. Cohesive meta-heuristic on the other hand is the new terminology of cooperation of existing meta-heuristic algorithms to obtain a better solution. In order to show the effectiveness of proposed method, 40-units generators system will be utilized and compared with the other methods. |
format |
Conference or Workshop Item |
author |
Mohd Herwan, Sulaiman Zuriani, Mustaffa Omar, Aliman |
author_facet |
Mohd Herwan, Sulaiman Zuriani, Mustaffa Omar, Aliman |
author_sort |
Mohd Herwan, Sulaiman |
title |
Cohesive meta-heuristic approach for solving combined economic and emission load dispatch |
title_short |
Cohesive meta-heuristic approach for solving combined economic and emission load dispatch |
title_full |
Cohesive meta-heuristic approach for solving combined economic and emission load dispatch |
title_fullStr |
Cohesive meta-heuristic approach for solving combined economic and emission load dispatch |
title_full_unstemmed |
Cohesive meta-heuristic approach for solving combined economic and emission load dispatch |
title_sort |
cohesive meta-heuristic approach for solving combined economic and emission load dispatch |
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Universiti Malaysia Pahang |
publishDate |
2020 |
url |
http://umpir.ump.edu.my/id/eprint/28591/1/39.%20Cohesive%20meta-heuristic%20approach%20for%20solving%20combined.pdf http://umpir.ump.edu.my/id/eprint/28591/2/39.1%20Cohesive%20meta-heuristic%20approach%20for%20solving%20combined.pdf http://umpir.ump.edu.my/id/eprint/28591/ |
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