Voltage angle‐based coherency identification in power system
Abstract Coherency detection in power system is vital step for controlled‐islanding. Model‐based slow‐coherency method is the traditional method of detecting coherent areas, which suffers from computational burdens. With the implementation of a wide‐area measurement system (WAMS) in power systems, c...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-04-01
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| Series: | IET Generation, Transmission & Distribution |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/gtd2.13141 |
| _version_ | 1797201345733722112 |
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| author | Zainab Alnassar Nagarajan Selukka Thulasiram |
| author_facet | Zainab Alnassar Nagarajan Selukka Thulasiram |
| author_sort | Zainab Alnassar |
| collection | DOAJ |
| description | Abstract Coherency detection in power system is vital step for controlled‐islanding. Model‐based slow‐coherency method is the traditional method of detecting coherent areas, which suffers from computational burdens. With the implementation of a wide‐area measurement system (WAMS) in power systems, coherent areas can be detected early after a disturbance that helps to ensure quick separation or remedial action. In this study, a novel Synchrophasor‐based coherency identification method has been proposed with bus voltage angle measurement. A new algorithm is proposed based on the first and second derivatives of the bus voltage phase angle using hierarchical clustering method for coherency detection. The proposed approach leverages hierarchical clustering method and the dynamics reflected in the bus voltage phase angle behavior to achieve automatic and accurate coherency identification. Real time simulation results demonstrate the ability of the proposed algorithm to detect the coherency with three consecutive PMU data from all the system buses and showcase coherent area boundaries. Case studies show robustness of the proposed method and is least affected by the latency in communication network compared to conventional methods. The proposed algorithm has been mathematically formulated and evaluated with different benchmark systems in OPAL‐RT real‐time simulation environment with HYPERSIM platform. |
| first_indexed | 2024-04-24T07:46:04Z |
| format | Article |
| id | doaj.art-b228b1d4b73f401098294f58676161a6 |
| institution | Directory Open Access Journal |
| issn | 1751-8687 1751-8695 |
| language | English |
| last_indexed | 2024-04-24T07:46:04Z |
| publishDate | 2024-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj.art-b228b1d4b73f401098294f58676161a62024-04-19T03:19:17ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952024-04-011881559157510.1049/gtd2.13141Voltage angle‐based coherency identification in power systemZainab Alnassar0Nagarajan Selukka Thulasiram1Department of Electrical Engineering Delhi Technological University Delhi IndiaDepartment of Electrical Engineering Delhi Technological University Delhi IndiaAbstract Coherency detection in power system is vital step for controlled‐islanding. Model‐based slow‐coherency method is the traditional method of detecting coherent areas, which suffers from computational burdens. With the implementation of a wide‐area measurement system (WAMS) in power systems, coherent areas can be detected early after a disturbance that helps to ensure quick separation or remedial action. In this study, a novel Synchrophasor‐based coherency identification method has been proposed with bus voltage angle measurement. A new algorithm is proposed based on the first and second derivatives of the bus voltage phase angle using hierarchical clustering method for coherency detection. The proposed approach leverages hierarchical clustering method and the dynamics reflected in the bus voltage phase angle behavior to achieve automatic and accurate coherency identification. Real time simulation results demonstrate the ability of the proposed algorithm to detect the coherency with three consecutive PMU data from all the system buses and showcase coherent area boundaries. Case studies show robustness of the proposed method and is least affected by the latency in communication network compared to conventional methods. The proposed algorithm has been mathematically formulated and evaluated with different benchmark systems in OPAL‐RT real‐time simulation environment with HYPERSIM platform.https://doi.org/10.1049/gtd2.13141coherencepower system dynamic stabilitypower system protectionpower system stabilitypower systems |
| spellingShingle | Zainab Alnassar Nagarajan Selukka Thulasiram Voltage angle‐based coherency identification in power system IET Generation, Transmission & Distribution coherence power system dynamic stability power system protection power system stability power systems |
| title | Voltage angle‐based coherency identification in power system |
| title_full | Voltage angle‐based coherency identification in power system |
| title_fullStr | Voltage angle‐based coherency identification in power system |
| title_full_unstemmed | Voltage angle‐based coherency identification in power system |
| title_short | Voltage angle‐based coherency identification in power system |
| title_sort | voltage angle based coherency identification in power system |
| topic | coherence power system dynamic stability power system protection power system stability power systems |
| url | https://doi.org/10.1049/gtd2.13141 |
| work_keys_str_mv | AT zainabalnassar voltageanglebasedcoherencyidentificationinpowersystem AT nagarajanselukkathulasiram voltageanglebasedcoherencyidentificationinpowersystem |