Hybrid African Vulture Optimization Algorithm and Pattern Search Tuned Fractional Order PID Controller for AGC of Electric Vehicles Integrated Power Systems.
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| Title: | Hybrid African Vulture Optimization Algorithm and Pattern Search Tuned Fractional Order PID Controller for AGC of Electric Vehicles Integrated Power Systems. |
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| Authors: | Dash, Pabitra Mohan1,2,3 pmdash.bbsr@gmail.com, Baliarsingh, Asini Kumar1,2,3 asinikumar333@gmail.com, Mohapatra, Sangram Keshori1,2,3 sangram.muna.76@gmail.com |
| Source: | International Journal on Electrical Engineering & Informatics. Jun2023, Vol. 15 Issue 2, p259-276. 18p. |
| Subjects: | Optimization algorithms, Electric controllers, PID controllers, Search algorithms, Electric vehicles, Gas power plants |
| Abstract: | Continuous varying load demand conditions in modern power systems causes frequency variations. Hence, an intelligent controller is necessary for frequency regulation. In this paper, a hybrid African Vulture Optimization Algorithm and Pattern Search (hAVOA-PS) based Fractional Order PID controller with derivative Filter (FOPIDF) is suggested for Automatic Generation Control (AGC) of Electric Vehicles (EVs) integrated power systems. Proposed hAVOA-PS algorithm is first tested using four bench mark test functions and compared with original African Vulture Optimization Algorithm (AVOA), Differential Evolution (DE), Gravitational Search Algorithm (GSA), Particle Swarm Optimization (PSO) to show its superiority. The proposed technique is then used to tune various conventional controllers in a single area three-unit power system consisting of thermal hydro and gas power plants for AGC. The superiority of proposed hAVOA-PS algorithm over some recently proposed frequency control approaches has been demonstrated. In the next step, different controllers like PI, PID, and FOPIDF are taken and EVs are integrated in the power system. The proposed approach is also extended to a two-area six-unit power system. It is observed that EVs contribute to control system frequency in presence of load disturbance. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal on Electrical Engineering & Informatics is the property of School of Electrical Engineering & Informatics, Bandung Institute of Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Items | – Name: Title Label: Title Group: Ti Data: Hybrid African Vulture Optimization Algorithm and Pattern Search Tuned Fractional Order PID Controller for AGC of Electric Vehicles Integrated Power Systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Dash%2C+Pabitra+Mohan%22">Dash, Pabitra Mohan</searchLink><relatesTo>1,2,3</relatesTo><i> pmdash.bbsr@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Baliarsingh%2C+Asini+Kumar%22">Baliarsingh, Asini Kumar</searchLink><relatesTo>1,2,3</relatesTo><i> asinikumar333@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Mohapatra%2C+Sangram+Keshori%22">Mohapatra, Sangram Keshori</searchLink><relatesTo>1,2,3</relatesTo><i> sangram.muna.76@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+on+Electrical+Engineering+%26+Informatics%22">International Journal on Electrical Engineering & Informatics</searchLink>. Jun2023, Vol. 15 Issue 2, p259-276. 18p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+controllers%22">Electric controllers</searchLink><br /><searchLink fieldCode="DE" term="%22PID+controllers%22">PID controllers</searchLink><br /><searchLink fieldCode="DE" term="%22Search+algorithms%22">Search algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+vehicles%22">Electric vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22Gas+power+plants%22">Gas power plants</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Continuous varying load demand conditions in modern power systems causes frequency variations. Hence, an intelligent controller is necessary for frequency regulation. In this paper, a hybrid African Vulture Optimization Algorithm and Pattern Search (hAVOA-PS) based Fractional Order PID controller with derivative Filter (FOPIDF) is suggested for Automatic Generation Control (AGC) of Electric Vehicles (EVs) integrated power systems. Proposed hAVOA-PS algorithm is first tested using four bench mark test functions and compared with original African Vulture Optimization Algorithm (AVOA), Differential Evolution (DE), Gravitational Search Algorithm (GSA), Particle Swarm Optimization (PSO) to show its superiority. The proposed technique is then used to tune various conventional controllers in a single area three-unit power system consisting of thermal hydro and gas power plants for AGC. The superiority of proposed hAVOA-PS algorithm over some recently proposed frequency control approaches has been demonstrated. In the next step, different controllers like PI, PID, and FOPIDF are taken and EVs are integrated in the power system. The proposed approach is also extended to a two-area six-unit power system. It is observed that EVs contribute to control system frequency in presence of load disturbance. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal on Electrical Engineering & Informatics is the property of School of Electrical Engineering & Informatics, Bandung Institute of Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.15676/ijeei.2023.15.2.6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 259 Subjects: – SubjectFull: Optimization algorithms Type: general – SubjectFull: Electric controllers Type: general – SubjectFull: PID controllers Type: general – SubjectFull: Search algorithms Type: general – SubjectFull: Electric vehicles Type: general – SubjectFull: Gas power plants Type: general Titles: – TitleFull: Hybrid African Vulture Optimization Algorithm and Pattern Search Tuned Fractional Order PID Controller for AGC of Electric Vehicles Integrated Power Systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dash, Pabitra Mohan – PersonEntity: Name: NameFull: Baliarsingh, Asini Kumar – PersonEntity: Name: NameFull: Mohapatra, Sangram Keshori IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 20856830 Numbering: – Type: volume Value: 15 – Type: issue Value: 2 Titles: – TitleFull: International Journal on Electrical Engineering & Informatics Type: main |
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