Variable Universe Fuzzy Logic-Based Hybrid LFC Control With Real-Time Implementation
Load frequency control (LFC) is playing an indispensable role to achieve the secure and economic operation of power grids. However, the existing LFC schemes either may rely on a nonlinear grid model under perfect operating condition with nominal parameters, or they may adopt a complicated control st...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8654606/ |
| _version_ | 1818412304009527296 |
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| author | Saddam Aziz Huaizhi Wang Yitao Liu Jianchun Peng Hui Jiang |
| author_facet | Saddam Aziz Huaizhi Wang Yitao Liu Jianchun Peng Hui Jiang |
| author_sort | Saddam Aziz |
| collection | DOAJ |
| description | Load frequency control (LFC) is playing an indispensable role to achieve the secure and economic operation of power grids. However, the existing LFC schemes either may rely on a nonlinear grid model under perfect operating condition with nominal parameters, or they may adopt a complicated control structure of high order. These LFC schemes may have poor control performance or even loss of stability in real-time implementation due to the grid uncertainties and the change of system operation scenarios. Consequently, a hybrid control method with two control loops considering various practical scenarios is originally proposed in this paper. In the inner loop, variable universe fuzzy logic control is applied to mitigate the impact of load disturbances on control performance. In the outer loop, an incremental genetic algorithm is employed to online optimize the control parameters. The performance of the proposed control method is comprehensively tested on a MATLAB/Simulink-based LFC model and a real-time digital simulator-based real-life 49-bus power system. The extensive results show that the proposed hybrid method exhibits comparatively better control performance than an adaptive fuzzy logic controller and an improved proportion integration controller. |
| first_indexed | 2024-12-14T10:45:10Z |
| format | Article |
| id | doaj.art-173d7cbd62b14e92acf01cdda42e2ebd |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T10:45:10Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-173d7cbd62b14e92acf01cdda42e2ebd2022-12-21T23:05:27ZengIEEEIEEE Access2169-35362019-01-017255352554610.1109/ACCESS.2019.29000478654606Variable Universe Fuzzy Logic-Based Hybrid LFC Control With Real-Time ImplementationSaddam Aziz0Huaizhi Wang1https://orcid.org/0000-0001-5458-9154Yitao Liu2Jianchun Peng3Hui Jiang4College of Optoelectronic Engineering, Shenzhen University, Shenzhen, ChinaCollege of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, ChinaCollege of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, ChinaCollege of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, ChinaCollege of Optoelectronic Engineering, Shenzhen University, Shenzhen, ChinaLoad frequency control (LFC) is playing an indispensable role to achieve the secure and economic operation of power grids. However, the existing LFC schemes either may rely on a nonlinear grid model under perfect operating condition with nominal parameters, or they may adopt a complicated control structure of high order. These LFC schemes may have poor control performance or even loss of stability in real-time implementation due to the grid uncertainties and the change of system operation scenarios. Consequently, a hybrid control method with two control loops considering various practical scenarios is originally proposed in this paper. In the inner loop, variable universe fuzzy logic control is applied to mitigate the impact of load disturbances on control performance. In the outer loop, an incremental genetic algorithm is employed to online optimize the control parameters. The performance of the proposed control method is comprehensively tested on a MATLAB/Simulink-based LFC model and a real-time digital simulator-based real-life 49-bus power system. The extensive results show that the proposed hybrid method exhibits comparatively better control performance than an adaptive fuzzy logic controller and an improved proportion integration controller.https://ieeexplore.ieee.org/document/8654606/Load-frequency controlvariable universe fuzzy logic controlincremental genetic algorithmreal-time digital simulator |
| spellingShingle | Saddam Aziz Huaizhi Wang Yitao Liu Jianchun Peng Hui Jiang Variable Universe Fuzzy Logic-Based Hybrid LFC Control With Real-Time Implementation IEEE Access Load-frequency control variable universe fuzzy logic control incremental genetic algorithm real-time digital simulator |
| title | Variable Universe Fuzzy Logic-Based Hybrid LFC Control With Real-Time Implementation |
| title_full | Variable Universe Fuzzy Logic-Based Hybrid LFC Control With Real-Time Implementation |
| title_fullStr | Variable Universe Fuzzy Logic-Based Hybrid LFC Control With Real-Time Implementation |
| title_full_unstemmed | Variable Universe Fuzzy Logic-Based Hybrid LFC Control With Real-Time Implementation |
| title_short | Variable Universe Fuzzy Logic-Based Hybrid LFC Control With Real-Time Implementation |
| title_sort | variable universe fuzzy logic based hybrid lfc control with real time implementation |
| topic | Load-frequency control variable universe fuzzy logic control incremental genetic algorithm real-time digital simulator |
| url | https://ieeexplore.ieee.org/document/8654606/ |
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