Determining the Necessity and Timing of Controlled Islanding in Power System: a wide-area intelligent-based method
The present study introduces a new extensive-area ANFIS (Adaptive Neuro-Fuzzy Interface System)-based method to detect wide area instability and control the time of controlled islanding execution within power systems. The ANFIS parameters are optimized by the PSO method to increase the method’s accu...
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| Format: | Article |
| Language: | English |
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University of Sistan and Baluchestan
2021-08-01
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| Series: | International Journal of Industrial Electronics, Control and Optimization |
| Subjects: | |
| Online Access: | https://ieco.usb.ac.ir/article_6272_68030811f1c81ecf2fb83a3f314a26c8.pdf |
| _version_ | 1811306293463351296 |
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| author | Hojatolah Makvandi Mahmood Joorabian Hassan Barati |
| author_facet | Hojatolah Makvandi Mahmood Joorabian Hassan Barati |
| author_sort | Hojatolah Makvandi |
| collection | DOAJ |
| description | The present study introduces a new extensive-area ANFIS (Adaptive Neuro-Fuzzy Interface System)-based method to detect wide area instability and control the time of controlled islanding execution within power systems. The ANFIS parameters are optimized by the PSO method to increase the method’s accuracy at various disturbances and loading circumstances. In addition, to take various stability margins within the areas into account, a novel parallel ANFIS network (P-ANFIS) is implemented in which a distinct ANFIS is allocated for every nearby area. Extended off-line studies are performed to train ANFIS to respond in real-time accurately based on the selected wide area input signals. These parameters are monitored continuously through a wide area measurement system (WAMS) and the proposed P-ANFIS starts to assess the stability between related areas in real-time in the case of potentially unstable oscillations. Once an unstable oscillation is detected, the islanding command is transmitted to perform the controlled islanding scheme. The suggested technique is used in an IEEE 39 bus power system and its performance is demonstrated at different disturbances in terms of both speed and accuracy. It is found that the suggested ANFIS-based technique can determine islanding requirement and its time of execution properly at different disturbances. |
| first_indexed | 2024-04-13T08:41:47Z |
| format | Article |
| id | doaj.art-0f4146cee35f45e0bd11d6da89a3a4a5 |
| institution | Directory Open Access Journal |
| issn | 2645-3517 2645-3568 |
| language | English |
| last_indexed | 2024-04-13T08:41:47Z |
| publishDate | 2021-08-01 |
| publisher | University of Sistan and Baluchestan |
| record_format | Article |
| series | International Journal of Industrial Electronics, Control and Optimization |
| spelling | doaj.art-0f4146cee35f45e0bd11d6da89a3a4a52022-12-22T02:53:51ZengUniversity of Sistan and BaluchestanInternational Journal of Industrial Electronics, Control and Optimization2645-35172645-35682021-08-014336737610.22111/ieco.2021.35777.13046272Determining the Necessity and Timing of Controlled Islanding in Power System: a wide-area intelligent-based methodHojatolah Makvandi0Mahmood Joorabian1Hassan Barati2Department of Electrical Engineering, Dezful Branch, Islamic Azad University, Dezful, IranDepartment of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, IranDepartment of Electrical Engineering, Dezful Branch, Islamic Azad University, Dezful, IranThe present study introduces a new extensive-area ANFIS (Adaptive Neuro-Fuzzy Interface System)-based method to detect wide area instability and control the time of controlled islanding execution within power systems. The ANFIS parameters are optimized by the PSO method to increase the method’s accuracy at various disturbances and loading circumstances. In addition, to take various stability margins within the areas into account, a novel parallel ANFIS network (P-ANFIS) is implemented in which a distinct ANFIS is allocated for every nearby area. Extended off-line studies are performed to train ANFIS to respond in real-time accurately based on the selected wide area input signals. These parameters are monitored continuously through a wide area measurement system (WAMS) and the proposed P-ANFIS starts to assess the stability between related areas in real-time in the case of potentially unstable oscillations. Once an unstable oscillation is detected, the islanding command is transmitted to perform the controlled islanding scheme. The suggested technique is used in an IEEE 39 bus power system and its performance is demonstrated at different disturbances in terms of both speed and accuracy. It is found that the suggested ANFIS-based technique can determine islanding requirement and its time of execution properly at different disturbances.https://ieco.usb.ac.ir/article_6272_68030811f1c81ecf2fb83a3f314a26c8.pdfwamsislanding detectionanfispso |
| spellingShingle | Hojatolah Makvandi Mahmood Joorabian Hassan Barati Determining the Necessity and Timing of Controlled Islanding in Power System: a wide-area intelligent-based method International Journal of Industrial Electronics, Control and Optimization wams islanding detection anfis pso |
| title | Determining the Necessity and Timing of Controlled Islanding in Power System: a wide-area intelligent-based method |
| title_full | Determining the Necessity and Timing of Controlled Islanding in Power System: a wide-area intelligent-based method |
| title_fullStr | Determining the Necessity and Timing of Controlled Islanding in Power System: a wide-area intelligent-based method |
| title_full_unstemmed | Determining the Necessity and Timing of Controlled Islanding in Power System: a wide-area intelligent-based method |
| title_short | Determining the Necessity and Timing of Controlled Islanding in Power System: a wide-area intelligent-based method |
| title_sort | determining the necessity and timing of controlled islanding in power system a wide area intelligent based method |
| topic | wams islanding detection anfis pso |
| url | https://ieco.usb.ac.ir/article_6272_68030811f1c81ecf2fb83a3f314a26c8.pdf |
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