A Chameleon algorithm for solving economic dispatch problem in microgrid system
The economic power dispatch (ED) is considered a critical optimization issue in the power system and microgrid. There are several objectives through the economic load dispatch issues such as reducing the operating cost, total emission, or start-up operations. This paper presents a Chameleon swarm al...
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my.uniten.dspace-340472024-10-14T11:17:46Z A Chameleon algorithm for solving economic dispatch problem in microgrid system Zahraoui Y. Alhamrouni I. Mekhilef S. Kor�tko T. Jusoh A. Sutikno T. 57223913703 56382973200 57928298500 55948587900 55912655300 35794013800 Chameleon swarm algorithm Economic power dispatch Microgrid Optimization The economic power dispatch (ED) is considered a critical optimization issue in the power system and microgrid. There are several objectives through the economic load dispatch issues such as reducing the operating cost, total emission, or start-up operations. This paper presents a Chameleon swarm algorithm (CSA) for determining the optimal ED of distributed energy resources (DER) in the microgrid. The proposed technique numerically mimics and executes chameleons' behavioral processes to their quest for food, such as their action for rotating their eyes to identify and grab prey using the speed of their sticky tongues. In this study, the CSA has been applied to obtain the optimal power dispatch from DER using the photovoltaic (PV) plants, combined heat power (CHP) systems, and traditional diesel generators. The obtained results from the simulation are compared with the conventional metaheuristic algorithms which have been used in previous studies, such as particle swarm optimization (PSO), genetic algorithm (GA), and artificial bee colony (ABC). Experimentally, the proposed algorithm for solving the ED problem determined the best value of the power dispatch and high performance compared to other metaheuristics methods. � 2023, Institute of Advanced Engineering and Science. All rights reserved. Final 2024-10-14T03:17:46Z 2024-10-14T03:17:46Z 2023 Article 10.11591/eei.v12i4.4700 2-s2.0-85150816316 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150816316&doi=10.11591%2feei.v12i4.4700&partnerID=40&md5=743273fed06932b3400166d388adb911 https://irepository.uniten.edu.my/handle/123456789/34047 12 4 1982 1992 All Open Access Gold Open Access Institute of Advanced Engineering and Science Scopus |
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Chameleon swarm algorithm Economic power dispatch Microgrid Optimization |
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Chameleon swarm algorithm Economic power dispatch Microgrid Optimization Zahraoui Y. Alhamrouni I. Mekhilef S. Kor�tko T. Jusoh A. Sutikno T. A Chameleon algorithm for solving economic dispatch problem in microgrid system |
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The economic power dispatch (ED) is considered a critical optimization issue in the power system and microgrid. There are several objectives through the economic load dispatch issues such as reducing the operating cost, total emission, or start-up operations. This paper presents a Chameleon swarm algorithm (CSA) for determining the optimal ED of distributed energy resources (DER) in the microgrid. The proposed technique numerically mimics and executes chameleons' behavioral processes to their quest for food, such as their action for rotating their eyes to identify and grab prey using the speed of their sticky tongues. In this study, the CSA has been applied to obtain the optimal power dispatch from DER using the photovoltaic (PV) plants, combined heat power (CHP) systems, and traditional diesel generators. The obtained results from the simulation are compared with the conventional metaheuristic algorithms which have been used in previous studies, such as particle swarm optimization (PSO), genetic algorithm (GA), and artificial bee colony (ABC). Experimentally, the proposed algorithm for solving the ED problem determined the best value of the power dispatch and high performance compared to other metaheuristics methods. � 2023, Institute of Advanced Engineering and Science. All rights reserved. |
| author2 |
57223913703 |
| author_facet |
57223913703 Zahraoui Y. Alhamrouni I. Mekhilef S. Kor�tko T. Jusoh A. Sutikno T. |
| format |
Article |
| author |
Zahraoui Y. Alhamrouni I. Mekhilef S. Kor�tko T. Jusoh A. Sutikno T. |
| author_sort |
Zahraoui Y. |
| title |
A Chameleon algorithm for solving economic dispatch problem in microgrid system |
| title_short |
A Chameleon algorithm for solving economic dispatch problem in microgrid system |
| title_full |
A Chameleon algorithm for solving economic dispatch problem in microgrid system |
| title_fullStr |
A Chameleon algorithm for solving economic dispatch problem in microgrid system |
| title_full_unstemmed |
A Chameleon algorithm for solving economic dispatch problem in microgrid system |
| title_sort |
chameleon algorithm for solving economic dispatch problem in microgrid system |
| publisher |
Institute of Advanced Engineering and Science |
| publishDate |
2024 |
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1814061101596278784 |
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13.211869 |