Multi-objective dynamic economic dispatch using Fruit Fly Optimization method
An essential task of the interconnected power system is about how to optimize power plants during operation time which is known as economic dispatch. In this study, the Fruit Fly Optimization method is proposed to solve problems of dynamic economic dispatch in an electrical power system. To measure...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Polish Academy of Sciences
2021-06-01
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| Series: | Archives of Electrical Engineering |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/119958/PDF/art08.pdf |
| _version_ | 1811316004816420864 |
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| author | Haripuddin Arsyad Ansar Suyuti Sri Mawar Said Yusri Syam Akil |
| author_facet | Haripuddin Arsyad Ansar Suyuti Sri Mawar Said Yusri Syam Akil |
| author_sort | Haripuddin Arsyad |
| collection | DOAJ |
| description | An essential task of the interconnected power system is about how to optimize power plants during operation time which is known as economic dispatch. In this study, the Fruit Fly Optimization method is proposed to solve problems of dynamic economic dispatch in an electrical power system. To measure the performance of the method, a simulation was conducted for two different electric systems of the existing Sulselbar 150 kV thermal power plant system in Indonesia with two objective functions, namely fuel costs and active power transmission losses, aswell as the 30-bus IEEE standard system with five objective functions namely fuel costs, transmission losses (active and reactive power), a reactive power reserve margin, and an emission index by considering a power generation limit and ramp rates as the constraints. Under tested cases, the simulation results have shown that the Fruit Fly Optimization method can solve the problems of dynamic economic dispatch better than other existing optimization methods. It is indicated by all values of the objective functions that are lowest for the Fruit Fly Optimization method. Moreover, the obtained computational time is sufficiently fast to get the best solution. |
| first_indexed | 2024-04-13T11:41:18Z |
| format | Article |
| id | doaj.art-ff6bf7b54b53419e804d30c6b434c1fe |
| institution | Directory Open Access Journal |
| issn | 2300-2506 |
| language | English |
| last_indexed | 2024-04-13T11:41:18Z |
| publishDate | 2021-06-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | Archives of Electrical Engineering |
| spelling | doaj.art-ff6bf7b54b53419e804d30c6b434c1fe2022-12-22T02:48:19ZengPolish Academy of SciencesArchives of Electrical Engineering2300-25062021-06-01vol. 70No 2351366https://doi.org/10.24425/aee.2021.136989Multi-objective dynamic economic dispatch using Fruit Fly Optimization methodHaripuddin Arsyad0Ansar Suyuti1Sri Mawar Said2Yusri Syam Akil3Electrical Engineering Department, Hasanuddin University, Gowa, IndonesiaElectrical Engineering Department, Hasanuddin University, Gowa, IndonesiaElectrical Engineering Department, Hasanuddin University, Gowa, IndonesiaElectrical Engineering Department, Hasanuddin University, Gowa, IndonesiaAn essential task of the interconnected power system is about how to optimize power plants during operation time which is known as economic dispatch. In this study, the Fruit Fly Optimization method is proposed to solve problems of dynamic economic dispatch in an electrical power system. To measure the performance of the method, a simulation was conducted for two different electric systems of the existing Sulselbar 150 kV thermal power plant system in Indonesia with two objective functions, namely fuel costs and active power transmission losses, aswell as the 30-bus IEEE standard system with five objective functions namely fuel costs, transmission losses (active and reactive power), a reactive power reserve margin, and an emission index by considering a power generation limit and ramp rates as the constraints. Under tested cases, the simulation results have shown that the Fruit Fly Optimization method can solve the problems of dynamic economic dispatch better than other existing optimization methods. It is indicated by all values of the objective functions that are lowest for the Fruit Fly Optimization method. Moreover, the obtained computational time is sufficiently fast to get the best solution.https://journals.pan.pl/Content/119958/PDF/art08.pdfdynamic economic dispatchfruit fly optimization methodmulti-objective |
| spellingShingle | Haripuddin Arsyad Ansar Suyuti Sri Mawar Said Yusri Syam Akil Multi-objective dynamic economic dispatch using Fruit Fly Optimization method Archives of Electrical Engineering dynamic economic dispatch fruit fly optimization method multi-objective |
| title | Multi-objective dynamic economic dispatch using Fruit Fly Optimization method |
| title_full | Multi-objective dynamic economic dispatch using Fruit Fly Optimization method |
| title_fullStr | Multi-objective dynamic economic dispatch using Fruit Fly Optimization method |
| title_full_unstemmed | Multi-objective dynamic economic dispatch using Fruit Fly Optimization method |
| title_short | Multi-objective dynamic economic dispatch using Fruit Fly Optimization method |
| title_sort | multi objective dynamic economic dispatch using fruit fly optimization method |
| topic | dynamic economic dispatch fruit fly optimization method multi-objective |
| url | https://journals.pan.pl/Content/119958/PDF/art08.pdf |
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