A Power System Economic Load Dispatch Using Jellyfish Search Algorithm
Economic load dispatch (ELD) is an important measure to achieve energy-saving and consumption reduction in power systems. This study suggests a solution to the ELD problem based on a new intelligent optimization algorithm called the Jellyfish search algorithm (JSA). Due to the imitation of jellyfish...
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2022
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oai:https:--lib.hpu.edu.vn:123456789-344822024-10-04T08:24:42Z A Power System Economic Load Dispatch Using Jellyfish Search Algorithm Jiang, Shi Jie Nguyễn, Trọng Thể Đào, Thị Kiên Vũ, Văn Định Ngô, Trường Giang Jellyfish search algorithm Electric power generating plant outputs Economic load dispatch Economic load dispatch (ELD) is an important measure to achieve energy-saving and consumption reduction in power systems. This study suggests a solution to the ELD problem based on a new intelligent optimization algorithm called the Jellyfish search algorithm (JSA). Due to the imitation of jellyfish's behavior searching for food in the ocean, the JSA owes the advanced characteristics, e.g., simple structure, fast search, and easy to implement. The ELD problem is mathematically expressed as a typical multi-constraint nonlinear optimization problem that can be dealt with by optimizing the JSA algorithm successfully. In order to verify the feasibility and effectiveness of the proposed scheme, two different case calculation studies are used to test and analyze the optimization performance of the proposed method from the multi-dimensional perspectives of the economy. The validation results show the proposed scheme provides more rapidity, convergence, and robustness than the other comparative methods. 2022-04-13T03:20:33Z 2022-04-13T03:20:33Z 2021 Article https://lib.hpu.edu.vn/handle/123456789/34482 en 10 tr. application/pdf application/pdf Springer |
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Trường Đại học Quản lý và Công nghệ Hải Phòng |
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| language |
English |
| topic |
Jellyfish search algorithm Electric power generating plant outputs Economic load dispatch |
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Jellyfish search algorithm Electric power generating plant outputs Economic load dispatch Jiang, Shi Jie Nguyễn, Trọng Thể Đào, Thị Kiên Vũ, Văn Định Ngô, Trường Giang A Power System Economic Load Dispatch Using Jellyfish Search Algorithm |
| description |
Economic load dispatch (ELD) is an important measure to achieve energy-saving and consumption reduction in power systems. This study suggests a solution to the ELD problem based on a new intelligent optimization algorithm called the Jellyfish search algorithm (JSA). Due to the imitation of jellyfish's behavior searching for food in the ocean, the JSA owes the advanced characteristics, e.g., simple structure, fast search, and easy to implement. The ELD problem is mathematically expressed as a typical multi-constraint nonlinear optimization problem that can be dealt with by optimizing the JSA algorithm successfully. In order to verify the feasibility and effectiveness of the proposed scheme, two different case calculation studies are used to test and analyze the optimization performance of the proposed method from the multi-dimensional perspectives of the economy. The validation results show the proposed scheme provides more rapidity, convergence, and robustness than the other comparative methods. |
| format |
Article |
| author |
Jiang, Shi Jie Nguyễn, Trọng Thể Đào, Thị Kiên Vũ, Văn Định Ngô, Trường Giang |
| author_facet |
Jiang, Shi Jie Nguyễn, Trọng Thể Đào, Thị Kiên Vũ, Văn Định Ngô, Trường Giang |
| author_sort |
Jiang, Shi Jie |
| title |
A Power System Economic Load Dispatch Using Jellyfish Search Algorithm |
| title_short |
A Power System Economic Load Dispatch Using Jellyfish Search Algorithm |
| title_full |
A Power System Economic Load Dispatch Using Jellyfish Search Algorithm |
| title_fullStr |
A Power System Economic Load Dispatch Using Jellyfish Search Algorithm |
| title_full_unstemmed |
A Power System Economic Load Dispatch Using Jellyfish Search Algorithm |
| title_sort |
power system economic load dispatch using jellyfish search algorithm |
| publisher |
Springer |
| publishDate |
2022 |
| url |
https://lib.hpu.edu.vn/handle/123456789/34482 |
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1812011966904926208 |