Modified FOPID Controller for Frequency Regulation of a Hybrid Interconnected System of Conventional and Renewable Energy Sources
In this article, a fractional-order proportional-integral-differential (FOPID) controller and its modified structure, called a MFOPID controller, are presented. To guarantee optimal system performance, the gains of the proposed FOPID and MFOPID controllers are well-tuned, employing the Jellyfish Sea...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Fractal and Fractional |
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| Online Access: | https://www.mdpi.com/2504-3110/7/1/89 |
| _version_ | 1797442269222010880 |
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| author | Amil Daraz Suheel Abdullah Malik Abdul Basit Sheraz Aslam Guoqiang Zhang |
| author_facet | Amil Daraz Suheel Abdullah Malik Abdul Basit Sheraz Aslam Guoqiang Zhang |
| author_sort | Amil Daraz |
| collection | DOAJ |
| description | In this article, a fractional-order proportional-integral-differential (FOPID) controller and its modified structure, called a MFOPID controller, are presented. To guarantee optimal system performance, the gains of the proposed FOPID and MFOPID controllers are well-tuned, employing the Jellyfish Search Optimizer (JSO), a novel and highly effective bioinspired metaheuristic approach. The proposed controllers are assessed in a hybrid system with two domains, where each domain contains a hybrid of conventional (gas, reheat, and hydro) and renewable generation sources (solar and wind). For a more realistic analysis, the presented system model includes practical limitations with nonlinear characteristics, such as governor dead zone/band (GDZ/GDB), boiler dynamics, generation rate limitation/constraint (GRL/GRC), system uncertainties, communication time delay (CTD), and load changes. The suggested methodology outperforms some newly developed heuristic techniques, including fitness-dependent optimizer (FDO), sine-cosine algorithm (SCA), and firefly algorithm (FA), for the interconnected power system (PS) of two regions with multiple generating units. Furthermore, the proposed MFOPID controller is compared with JSO-tuned PID/FOPID and PI controllers to ascertain its superiority. The results signify that the presented control method and its parametric optimization significantly outperforms the other control strategies with respect to minimum undershoot and peak overshoot, settling times, and ITSE in the system’s dynamic response. The sensitivity analysis outcomes imply that the proposed JSO-MFOPID control method is very reliable and can effectively stabilize the load frequency and interconnection line in a multi-area network with interconnected PS. |
| first_indexed | 2024-03-09T12:40:22Z |
| format | Article |
| id | doaj.art-f7f718ceb7f9485da8f12ce56928f626 |
| institution | Directory Open Access Journal |
| issn | 2504-3110 |
| language | English |
| last_indexed | 2024-03-09T12:40:22Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fractal and Fractional |
| spelling | doaj.art-f7f718ceb7f9485da8f12ce56928f6262023-11-30T22:20:12ZengMDPI AGFractal and Fractional2504-31102023-01-01718910.3390/fractalfract7010089Modified FOPID Controller for Frequency Regulation of a Hybrid Interconnected System of Conventional and Renewable Energy SourcesAmil Daraz0Suheel Abdullah Malik1Abdul Basit2Sheraz Aslam3Guoqiang Zhang4School of Information Science and Engineering, NingboTech University, Ningbo 315100, ChinaDepartment of Electrical Engineering, FET, International Islamic University, Islamabad 44000, PakistanSchool of Information Science and Engineering, NingboTech University, Ningbo 315100, ChinaDepartment of Electrical Engineering, Computer Engineering and Informatics, Cyprus University of Technology, 3036 Limassol, CyprusSchool of Information Science and Engineering, NingboTech University, Ningbo 315100, ChinaIn this article, a fractional-order proportional-integral-differential (FOPID) controller and its modified structure, called a MFOPID controller, are presented. To guarantee optimal system performance, the gains of the proposed FOPID and MFOPID controllers are well-tuned, employing the Jellyfish Search Optimizer (JSO), a novel and highly effective bioinspired metaheuristic approach. The proposed controllers are assessed in a hybrid system with two domains, where each domain contains a hybrid of conventional (gas, reheat, and hydro) and renewable generation sources (solar and wind). For a more realistic analysis, the presented system model includes practical limitations with nonlinear characteristics, such as governor dead zone/band (GDZ/GDB), boiler dynamics, generation rate limitation/constraint (GRL/GRC), system uncertainties, communication time delay (CTD), and load changes. The suggested methodology outperforms some newly developed heuristic techniques, including fitness-dependent optimizer (FDO), sine-cosine algorithm (SCA), and firefly algorithm (FA), for the interconnected power system (PS) of two regions with multiple generating units. Furthermore, the proposed MFOPID controller is compared with JSO-tuned PID/FOPID and PI controllers to ascertain its superiority. The results signify that the presented control method and its parametric optimization significantly outperforms the other control strategies with respect to minimum undershoot and peak overshoot, settling times, and ITSE in the system’s dynamic response. The sensitivity analysis outcomes imply that the proposed JSO-MFOPID control method is very reliable and can effectively stabilize the load frequency and interconnection line in a multi-area network with interconnected PS.https://www.mdpi.com/2504-3110/7/1/89automatic generation controlfractional order PID controllerload frequency controlrenewable energy sourcejellyfish swarm algorithmoptimization techniques |
| spellingShingle | Amil Daraz Suheel Abdullah Malik Abdul Basit Sheraz Aslam Guoqiang Zhang Modified FOPID Controller for Frequency Regulation of a Hybrid Interconnected System of Conventional and Renewable Energy Sources Fractal and Fractional automatic generation control fractional order PID controller load frequency control renewable energy source jellyfish swarm algorithm optimization techniques |
| title | Modified FOPID Controller for Frequency Regulation of a Hybrid Interconnected System of Conventional and Renewable Energy Sources |
| title_full | Modified FOPID Controller for Frequency Regulation of a Hybrid Interconnected System of Conventional and Renewable Energy Sources |
| title_fullStr | Modified FOPID Controller for Frequency Regulation of a Hybrid Interconnected System of Conventional and Renewable Energy Sources |
| title_full_unstemmed | Modified FOPID Controller for Frequency Regulation of a Hybrid Interconnected System of Conventional and Renewable Energy Sources |
| title_short | Modified FOPID Controller for Frequency Regulation of a Hybrid Interconnected System of Conventional and Renewable Energy Sources |
| title_sort | modified fopid controller for frequency regulation of a hybrid interconnected system of conventional and renewable energy sources |
| topic | automatic generation control fractional order PID controller load frequency control renewable energy source jellyfish swarm algorithm optimization techniques |
| url | https://www.mdpi.com/2504-3110/7/1/89 |
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