Enhancing the transient stability of interconnected power systems by designing an adaptive fuzzy-based fractional order PID controller
The reliable and efficient operation of the electrical energy transmission system heavily relies on maintaining stability as a key requirement. Interconnected power systems often experience low-frequency oscillations (LFOs), which have the potential to initiate instability and, subsequently, necessi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-06-01
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| Series: | Energy Reports |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723015846 |
| _version_ | 1797394882617147392 |
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| author | Mehdi Shafiee Mehdi Sajadinia Abbas-Ali Zamani Mehdi Jafari |
| author_facet | Mehdi Shafiee Mehdi Sajadinia Abbas-Ali Zamani Mehdi Jafari |
| author_sort | Mehdi Shafiee |
| collection | DOAJ |
| description | The reliable and efficient operation of the electrical energy transmission system heavily relies on maintaining stability as a key requirement. Interconnected power systems often experience low-frequency oscillations (LFOs), which have the potential to initiate instability and, subsequently, necessitate careful attention and investigation. To tackle this issue, researchers have focused on various controllers, including Fractional-Order Proportional-Integral-Derivative (FOPID) controllers. The FOPID controller, with its increased number of design parameters, has proven to be more successful than the traditional PID controller in various engineering applications. However, determining the optimal parameters for the controller becomes more challenging due to the increased design space. Moreover, the performance of fixed-gain FOPID controllers may be degraded when confronted with highly nonlinear and uncertain controlled objects such as power systems. This issue is primarily attributed to the static nature of fixed-gain FOPID controllers. To overcome these challenges associated with fixed-gain FOPID controllers and to instill an adaptive quality, this article introduces a novel power system control methodology. This adaptive approach combines a FOPID control strategy with a fuzzy logic system and is denoted as EOA-AFFOPID. The proposed adaptive controller dynamically tunes its coefficients through a fuzzy block, which significantly improves the overall performance of the control system. To establish a performance benchmark, we have also created an alternative controller, named EOA-FOPID, a version of the optima FOPID controller with fixed coefficients. The proposed methodology is applied to multi-machine interconnected power systems equipped with Static Synchronous Series Compensators (SSSCs), and comparative evaluations are conducted with other popular recent control strategies. The comparisons demonstrate the effectiveness of the EOA-AFFOPID control strategy in damping system fluctuations and achieving significant performance improvements in terms of different metrics including overshoot, undershoot, and settling time. |
| first_indexed | 2024-03-09T00:26:12Z |
| format | Article |
| id | doaj.art-508b9a8407e54e6db4c5cb807994bb5b |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-09T00:26:12Z |
| publishDate | 2024-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-508b9a8407e54e6db4c5cb807994bb5b2023-12-12T04:34:54ZengElsevierEnergy Reports2352-48472024-06-0111394411Enhancing the transient stability of interconnected power systems by designing an adaptive fuzzy-based fractional order PID controllerMehdi Shafiee0Mehdi Sajadinia1Abbas-Ali Zamani2Mehdi Jafari3Department of Electrical Engineering, Technical and Vocational University (TVU), Tehran, IranDepartment of Electrical Engineering, Technical and Vocational University (TVU), Tehran, Iran; Corresponding author.Department of Electrical Engineering, Technical and Vocational University (TVU), Tehran, IranDepartment of Electrical Engineering, Amirkabir University of Technology, Tehran, IranThe reliable and efficient operation of the electrical energy transmission system heavily relies on maintaining stability as a key requirement. Interconnected power systems often experience low-frequency oscillations (LFOs), which have the potential to initiate instability and, subsequently, necessitate careful attention and investigation. To tackle this issue, researchers have focused on various controllers, including Fractional-Order Proportional-Integral-Derivative (FOPID) controllers. The FOPID controller, with its increased number of design parameters, has proven to be more successful than the traditional PID controller in various engineering applications. However, determining the optimal parameters for the controller becomes more challenging due to the increased design space. Moreover, the performance of fixed-gain FOPID controllers may be degraded when confronted with highly nonlinear and uncertain controlled objects such as power systems. This issue is primarily attributed to the static nature of fixed-gain FOPID controllers. To overcome these challenges associated with fixed-gain FOPID controllers and to instill an adaptive quality, this article introduces a novel power system control methodology. This adaptive approach combines a FOPID control strategy with a fuzzy logic system and is denoted as EOA-AFFOPID. The proposed adaptive controller dynamically tunes its coefficients through a fuzzy block, which significantly improves the overall performance of the control system. To establish a performance benchmark, we have also created an alternative controller, named EOA-FOPID, a version of the optima FOPID controller with fixed coefficients. The proposed methodology is applied to multi-machine interconnected power systems equipped with Static Synchronous Series Compensators (SSSCs), and comparative evaluations are conducted with other popular recent control strategies. The comparisons demonstrate the effectiveness of the EOA-AFFOPID control strategy in damping system fluctuations and achieving significant performance improvements in terms of different metrics including overshoot, undershoot, and settling time.http://www.sciencedirect.com/science/article/pii/S2352484723015846Power system stabilityFACTs devicesFractional order controllerAdaptive controllerFuzzy controllerStatic synchronous series compensator |
| spellingShingle | Mehdi Shafiee Mehdi Sajadinia Abbas-Ali Zamani Mehdi Jafari Enhancing the transient stability of interconnected power systems by designing an adaptive fuzzy-based fractional order PID controller Energy Reports Power system stability FACTs devices Fractional order controller Adaptive controller Fuzzy controller Static synchronous series compensator |
| title | Enhancing the transient stability of interconnected power systems by designing an adaptive fuzzy-based fractional order PID controller |
| title_full | Enhancing the transient stability of interconnected power systems by designing an adaptive fuzzy-based fractional order PID controller |
| title_fullStr | Enhancing the transient stability of interconnected power systems by designing an adaptive fuzzy-based fractional order PID controller |
| title_full_unstemmed | Enhancing the transient stability of interconnected power systems by designing an adaptive fuzzy-based fractional order PID controller |
| title_short | Enhancing the transient stability of interconnected power systems by designing an adaptive fuzzy-based fractional order PID controller |
| title_sort | enhancing the transient stability of interconnected power systems by designing an adaptive fuzzy based fractional order pid controller |
| topic | Power system stability FACTs devices Fractional order controller Adaptive controller Fuzzy controller Static synchronous series compensator |
| url | http://www.sciencedirect.com/science/article/pii/S2352484723015846 |
| work_keys_str_mv | AT mehdishafiee enhancingthetransientstabilityofinterconnectedpowersystemsbydesigninganadaptivefuzzybasedfractionalorderpidcontroller AT mehdisajadinia enhancingthetransientstabilityofinterconnectedpowersystemsbydesigninganadaptivefuzzybasedfractionalorderpidcontroller AT abbasalizamani enhancingthetransientstabilityofinterconnectedpowersystemsbydesigninganadaptivefuzzybasedfractionalorderpidcontroller AT mehdijafari enhancingthetransientstabilityofinterconnectedpowersystemsbydesigninganadaptivefuzzybasedfractionalorderpidcontroller |