An Improved Beetle Antennae Search Algorithm and Its Application on Economic Load Distribution of Power System
The beetle antennae search algorithm (BAS) is a new heuristic algorithm proposed in 2017. BAS is a simulation optimization algorithm based on beetle antennae, which determine the direction of flight by sensing the smell of food and thereby find the food. The BAS algorithm has been proven to have bet...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9099850/ |
| _version_ | 1818663710177099776 |
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| author | Meijin Lin Qinghao Li Fei Wang Danfeng Chen |
| author_facet | Meijin Lin Qinghao Li Fei Wang Danfeng Chen |
| author_sort | Meijin Lin |
| collection | DOAJ |
| description | The beetle antennae search algorithm (BAS) is a new heuristic algorithm proposed in 2017. BAS is a simulation optimization algorithm based on beetle antennae, which determine the direction of flight by sensing the smell of food and thereby find the food. The BAS algorithm has been proven to have better optimization speed and precision when searching for solutions to low-dimensional problems. However, when solving high-dimensional problems, the algorithm easily falls into a local optimum. To improve the search ability of BAS, this paper introduces inertia weight, which leads the algorithm to perform a global search in early stages and a local search in later stages, which greatly improves the optimization precision of the algorithm. Economic load distribution (ELD) is a typical optimization problem in power systems. This paper analyses the problem of ELD and its mathematical model and then uses a 3-machine 6-node example to apply the improved BAS algorithm to ELD. Finally, the improved BAS algorithm is compared with PSO and other algorithms on the basis of the optimization results of test functions. The conclusion is drawn that the improved BAS algorithm has advantages in dealing with ELD problems. |
| first_indexed | 2024-12-17T05:21:10Z |
| format | Article |
| id | doaj.art-dfde783c5ad44b9c86ca885035097237 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T05:21:10Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-dfde783c5ad44b9c86ca8850350972372022-12-21T22:01:58ZengIEEEIEEE Access2169-35362020-01-018996249963210.1109/ACCESS.2020.29976879099850An Improved Beetle Antennae Search Algorithm and Its Application on Economic Load Distribution of Power SystemMeijin Lin0Qinghao Li1https://orcid.org/0000-0002-1698-365XFei Wang2Danfeng Chen3School of Automation, Foshan University, Foshan, ChinaSchool of Automation, Foshan University, Foshan, ChinaSchool of Automation, Foshan University, Foshan, ChinaSchool of Automation, Foshan University, Foshan, ChinaThe beetle antennae search algorithm (BAS) is a new heuristic algorithm proposed in 2017. BAS is a simulation optimization algorithm based on beetle antennae, which determine the direction of flight by sensing the smell of food and thereby find the food. The BAS algorithm has been proven to have better optimization speed and precision when searching for solutions to low-dimensional problems. However, when solving high-dimensional problems, the algorithm easily falls into a local optimum. To improve the search ability of BAS, this paper introduces inertia weight, which leads the algorithm to perform a global search in early stages and a local search in later stages, which greatly improves the optimization precision of the algorithm. Economic load distribution (ELD) is a typical optimization problem in power systems. This paper analyses the problem of ELD and its mathematical model and then uses a 3-machine 6-node example to apply the improved BAS algorithm to ELD. Finally, the improved BAS algorithm is compared with PSO and other algorithms on the basis of the optimization results of test functions. The conclusion is drawn that the improved BAS algorithm has advantages in dealing with ELD problems.https://ieeexplore.ieee.org/document/9099850/Beetle antennae searcheconomic load distributioninertia weight |
| spellingShingle | Meijin Lin Qinghao Li Fei Wang Danfeng Chen An Improved Beetle Antennae Search Algorithm and Its Application on Economic Load Distribution of Power System IEEE Access Beetle antennae search economic load distribution inertia weight |
| title | An Improved Beetle Antennae Search Algorithm and Its Application on Economic Load Distribution of Power System |
| title_full | An Improved Beetle Antennae Search Algorithm and Its Application on Economic Load Distribution of Power System |
| title_fullStr | An Improved Beetle Antennae Search Algorithm and Its Application on Economic Load Distribution of Power System |
| title_full_unstemmed | An Improved Beetle Antennae Search Algorithm and Its Application on Economic Load Distribution of Power System |
| title_short | An Improved Beetle Antennae Search Algorithm and Its Application on Economic Load Distribution of Power System |
| title_sort | improved beetle antennae search algorithm and its application on economic load distribution of power system |
| topic | Beetle antennae search economic load distribution inertia weight |
| url | https://ieeexplore.ieee.org/document/9099850/ |
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