Solving Economic Dispatch (ED) Problem Using Artificial Immune System, Evolutionary Programming and Particle Swarm Optimization
Nowaday, the demand of the electrical energy is increased due to increment in loading and it is desired to use the existing transmission network to its thermal stability limits. The electrical power system are designed and operated to meet the continuous variation of power demand. The power demand i...
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| Format: | Conference or Workshop Item |
| Language: | English |
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2015
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| Online Access: | http://umpir.ump.edu.my/id/eprint/11293/ http://umpir.ump.edu.my/id/eprint/11293/1/Solving%20Economic%20Dispatch%20%28ED%29%20Problem%20Using%20Artificial%20Immune%20System%2C%20Evolutionary%20Programming%20and%20Particle%20Swarm%20Optimization.pdf |
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ump-11293 |
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eprints |
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ump-112932018-04-11T01:59:41Z http://umpir.ump.edu.my/id/eprint/11293/ Solving Economic Dispatch (ED) Problem Using Artificial Immune System, Evolutionary Programming and Particle Swarm Optimization Nor Rul Hasma, Abdullah Norazizah, Ghazali Norshafiqah, Ibrahim Nadiatul Fatini, Solleh Rosdiyana, Samad Mahfuzah, Mustafa Pebrianti, Dwi TK Electrical engineering. Electronics Nuclear engineering Nowaday, the demand of the electrical energy is increased due to increment in loading and it is desired to use the existing transmission network to its thermal stability limits. The electrical power system are designed and operated to meet the continuous variation of power demand. The power demand is shared among the generating units and economic of operation is the main consideration in assigning the power to be generated by each generating unit. This paper presents the application Evolutionary Programming (EP), Artificial Immune System (AIS), and Particle Swarm Optimization (PSO) techniques for solving an economic dispatch (ED) problem. The purpose of ED technique in this study mainly to minimize the total generation cost and transmission losses in the system. The proposed optimization technique was validated on 26-bus IEEE Reliability Test System (RTS). 2015 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11293/1/Solving%20Economic%20Dispatch%20%28ED%29%20Problem%20Using%20Artificial%20Immune%20System%2C%20Evolutionary%20Programming%20and%20Particle%20Swarm%20Optimization.pdf Nor Rul Hasma, Abdullah and Norazizah, Ghazali and Norshafiqah, Ibrahim and Nadiatul Fatini, Solleh and Rosdiyana, Samad and Mahfuzah, Mustafa and Pebrianti, Dwi (2015) Solving Economic Dispatch (ED) Problem Using Artificial Immune System, Evolutionary Programming and Particle Swarm Optimization. In: International Conference on Electrical, Control and Computer Engineering (INECCE 2015), 27-28 Oct 2015 , Kuantan, Pahang. . (Unpublished) |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Pahang |
| building |
UMP Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Nor Rul Hasma, Abdullah Norazizah, Ghazali Norshafiqah, Ibrahim Nadiatul Fatini, Solleh Rosdiyana, Samad Mahfuzah, Mustafa Pebrianti, Dwi Solving Economic Dispatch (ED) Problem Using Artificial Immune System, Evolutionary Programming and Particle Swarm Optimization |
| description |
Nowaday, the demand of the electrical energy is increased due to increment in loading and it is desired to use the existing transmission network to its thermal stability limits. The electrical power system are designed and operated to meet the continuous variation of power demand. The power demand is shared among the generating units and economic of operation is the main consideration in assigning the power to be generated by each generating unit. This paper presents the application Evolutionary Programming (EP), Artificial Immune System (AIS), and Particle Swarm Optimization (PSO) techniques for solving an economic dispatch (ED) problem. The purpose of ED technique in this study mainly to minimize the total generation cost and transmission losses in the system. The proposed optimization technique was validated on 26-bus IEEE Reliability Test System (RTS).
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| format |
Conference or Workshop Item |
| author |
Nor Rul Hasma, Abdullah Norazizah, Ghazali Norshafiqah, Ibrahim Nadiatul Fatini, Solleh Rosdiyana, Samad Mahfuzah, Mustafa Pebrianti, Dwi |
| author_facet |
Nor Rul Hasma, Abdullah Norazizah, Ghazali Norshafiqah, Ibrahim Nadiatul Fatini, Solleh Rosdiyana, Samad Mahfuzah, Mustafa Pebrianti, Dwi |
| author_sort |
Nor Rul Hasma, Abdullah |
| title |
Solving Economic Dispatch (ED) Problem Using Artificial Immune System, Evolutionary Programming and Particle Swarm Optimization |
| title_short |
Solving Economic Dispatch (ED) Problem Using Artificial Immune System, Evolutionary Programming and Particle Swarm Optimization |
| title_full |
Solving Economic Dispatch (ED) Problem Using Artificial Immune System, Evolutionary Programming and Particle Swarm Optimization |
| title_fullStr |
Solving Economic Dispatch (ED) Problem Using Artificial Immune System, Evolutionary Programming and Particle Swarm Optimization |
| title_full_unstemmed |
Solving Economic Dispatch (ED) Problem Using Artificial Immune System, Evolutionary Programming and Particle Swarm Optimization |
| title_sort |
solving economic dispatch (ed) problem using artificial immune system, evolutionary programming and particle swarm optimization |
| publishDate |
2015 |
| url |
http://umpir.ump.edu.my/id/eprint/11293/ http://umpir.ump.edu.my/id/eprint/11293/1/Solving%20Economic%20Dispatch%20%28ED%29%20Problem%20Using%20Artificial%20Immune%20System%2C%20Evolutionary%20Programming%20and%20Particle%20Swarm%20Optimization.pdf |
| first_indexed |
2023-09-18T22:11:52Z |
| last_indexed |
2023-09-18T22:11:52Z |
| _version_ |
1777415081582133248 |