AGC tuning of interconnected reheat thermal systems with particle swarm optimization
This paper demonstrates the use of particle swarm optimization for optimizing the parameters of automatic generation control systems (AGC). An integral controller and a proportional-plus-integral controller are considered. A two-area reheat thermal system is considered to exemplify the optimum param...
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| Format: | article |
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2003
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| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/14307/1/14307_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14307/2/14307_2.doc |
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| _version_ | 1864513393723965440 |
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| author | Abdel-Magid, Y.L. |
| author2 | Abido, M.A. unknown |
| author2_role | author author |
| author_facet | Abdel-Magid, Y.L. Abido, M.A. unknown |
| author_role | author |
| dc.creator.none.fl_str_mv | Abdel-Magid, Y.L. Abido, M.A. unknown |
| dc.date.none.fl_str_mv | 2003-12 2020 |
| dc.format.none.fl_str_mv | application/pdf application/msword |
| dc.identifier.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/14307/1/14307_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14307/2/14307_2.doc (2003) AGC tuning of interconnected reheat thermal systems with particle swarm optimization. Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International conference, 1. |
| dc.language.none.fl_str_mv | en en |
| dc.publisher.none.fl_str_mv | IEEE |
| dc.relation.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/14307/ |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Computer |
| dc.title.none.fl_str_mv | AGC tuning of interconnected reheat thermal systems with particle swarm optimization |
| dc.type.none.fl_str_mv | Article PeerReviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | This paper demonstrates the use of particle swarm optimization for optimizing the parameters of automatic generation control systems (AGC). An integral controller and a proportional-plus-integral controller are considered. A two-area reheat thermal system is considered to exemplify the optimum parameter search. The optimal AGC parameters search is formulated as an optimization problem with a standard infinite time quadratic objective function. A time domain simulation of the system is then used in conjunction with the particle swarm optimizer to determine the controller gains. The integral square of the error and the integral of time-multiplied absolute value of the error performances indices are considered. The results reported in this paper demonstrate the effectiveness of the particle swarm optimizer in the tuning of the AGC parameters. The enhancement in the dynamic response of the power system is verified through simulation results. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | KFUPM_2bec8751689feb6a080b9b80709058ef |
| identifier_str_mv | (2003) AGC tuning of interconnected reheat thermal systems with particle swarm optimization. Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International conference, 1. |
| language_invalid_str_mv | en |
| network_acronym_str | KFUPM |
| network_name_str | King Fahd University of Petroleum and Minerals |
| oai_identifier_str | oai::14307 |
| publishDate | 2003 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | AGC tuning of interconnected reheat thermal systems with particle swarm optimizationAbdel-Magid, Y.L.Abido, M.A.unknownComputerThis paper demonstrates the use of particle swarm optimization for optimizing the parameters of automatic generation control systems (AGC). An integral controller and a proportional-plus-integral controller are considered. A two-area reheat thermal system is considered to exemplify the optimum parameter search. The optimal AGC parameters search is formulated as an optimization problem with a standard infinite time quadratic objective function. A time domain simulation of the system is then used in conjunction with the particle swarm optimizer to determine the controller gains. The integral square of the error and the integral of time-multiplied absolute value of the error performances indices are considered. The results reported in this paper demonstrate the effectiveness of the particle swarm optimizer in the tuning of the AGC parameters. The enhancement in the dynamic response of the power system is verified through simulation results.IEEE2003-122020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14307/1/14307_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14307/2/14307_2.doc (2003) AGC tuning of interconnected reheat thermal systems with particle swarm optimization. Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International conference, 1. enenhttps://eprints.kfupm.edu.sa/id/eprint/14307/info:eu-repo/semantics/openAccessoai::143072019-11-01T14:05:15Z |
| spellingShingle | AGC tuning of interconnected reheat thermal systems with particle swarm optimization Abdel-Magid, Y.L. Computer |
| status_str | publishedVersion |
| title | AGC tuning of interconnected reheat thermal systems with particle swarm optimization |
| title_full | AGC tuning of interconnected reheat thermal systems with particle swarm optimization |
| title_fullStr | AGC tuning of interconnected reheat thermal systems with particle swarm optimization |
| title_full_unstemmed | AGC tuning of interconnected reheat thermal systems with particle swarm optimization |
| title_short | AGC tuning of interconnected reheat thermal systems with particle swarm optimization |
| title_sort | AGC tuning of interconnected reheat thermal systems with particle swarm optimization |
| topic | Computer |
| url | https://eprints.kfupm.edu.sa/id/eprint/14307/1/14307_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14307/2/14307_2.doc |