Power system coherency recognition and islanding: Practical limits and future perspectives
Abstract Electrical power systems are continuously upgrading into networks with a higher degree of automation capable of identifying and reacting to different events that may trigger undesirable situations. In power systems with decreasing inertia and damping levels, poorly damped oscillations with...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-03-01
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| Series: | IET Energy Systems Integration |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/esi2.12081 |
| _version_ | 1811154990046117888 |
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| author | Harold R. Chamorro Edgar O. Gomez‐Diaz Mario R. A. Paternina Manuel A. Andrade Emilio Barocio Jose L. Rueda Francisco Gonzalez‐Longatt Vijay K. Sood |
| author_facet | Harold R. Chamorro Edgar O. Gomez‐Diaz Mario R. A. Paternina Manuel A. Andrade Emilio Barocio Jose L. Rueda Francisco Gonzalez‐Longatt Vijay K. Sood |
| author_sort | Harold R. Chamorro |
| collection | DOAJ |
| description | Abstract Electrical power systems are continuously upgrading into networks with a higher degree of automation capable of identifying and reacting to different events that may trigger undesirable situations. In power systems with decreasing inertia and damping levels, poorly damped oscillations with sustained or growing amplitudes following a disturbance may eventually lead to instability and provoke a major event such as a blackout. Additionally, with the increasing and considerable share of renewable power generation, unprecedented operational challenges shall be considered when proposing protection schemes against unstable electro‐mechanical (e.g. ringdown) oscillations. In an emergency situation, islanding operations enable splitting a power network into separate smaller networks to prevent a total blackout. Due to such changes, identifying the underlying types of oscillatory coherency and the islanding protocols are necessary for a continuously updating process to be incorporated into the existing power system monitoring and control tasks. This paper examines the existing evaluation methods and the islanding protocols as well as proposes an updated operational guideline based on the latest data‐analytic technologies. |
| first_indexed | 2024-04-10T04:26:36Z |
| format | Article |
| id | doaj.art-bd2b7c6c38eb480cb19869d2055524d0 |
| institution | Directory Open Access Journal |
| issn | 2516-8401 |
| language | English |
| last_indexed | 2024-04-10T04:26:36Z |
| publishDate | 2023-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Energy Systems Integration |
| spelling | doaj.art-bd2b7c6c38eb480cb19869d2055524d02023-03-10T14:13:22ZengWileyIET Energy Systems Integration2516-84012023-03-015111410.1049/esi2.12081Power system coherency recognition and islanding: Practical limits and future perspectivesHarold R. Chamorro0Edgar O. Gomez‐Diaz1Mario R. A. Paternina2Manuel A. Andrade3Emilio Barocio4Jose L. Rueda5Francisco Gonzalez‐Longatt6Vijay K. Sood7KTH Royal Institute of Technology Stockholm SwedenUniversidad Autonoma de Nuevo Leon San Nicolas de los Garza MexicoDepartment of Electrical Engineering National Autonomous University of Mexico (UNAM) Mexico City MexicoUniversidad Autonoma de Nuevo Leon San Nicolas de los Garza MexicoCUCEI, Universidad de Guadalajara Guadalajara MexicoDepartment of Electrical Sustainable Energy Delft University of Technology (TUD) Delft the NetherlandsUniversity of South‐Eastern Norway Porsgrunn NorwayOntario Tech University Oshawa Ontario CanadaAbstract Electrical power systems are continuously upgrading into networks with a higher degree of automation capable of identifying and reacting to different events that may trigger undesirable situations. In power systems with decreasing inertia and damping levels, poorly damped oscillations with sustained or growing amplitudes following a disturbance may eventually lead to instability and provoke a major event such as a blackout. Additionally, with the increasing and considerable share of renewable power generation, unprecedented operational challenges shall be considered when proposing protection schemes against unstable electro‐mechanical (e.g. ringdown) oscillations. In an emergency situation, islanding operations enable splitting a power network into separate smaller networks to prevent a total blackout. Due to such changes, identifying the underlying types of oscillatory coherency and the islanding protocols are necessary for a continuously updating process to be incorporated into the existing power system monitoring and control tasks. This paper examines the existing evaluation methods and the islanding protocols as well as proposes an updated operational guideline based on the latest data‐analytic technologies.https://doi.org/10.1049/esi2.12081dampingdata analysisdistributed power generationpower distribution controlpower distribution faultspower engineering computing |
| spellingShingle | Harold R. Chamorro Edgar O. Gomez‐Diaz Mario R. A. Paternina Manuel A. Andrade Emilio Barocio Jose L. Rueda Francisco Gonzalez‐Longatt Vijay K. Sood Power system coherency recognition and islanding: Practical limits and future perspectives IET Energy Systems Integration damping data analysis distributed power generation power distribution control power distribution faults power engineering computing |
| title | Power system coherency recognition and islanding: Practical limits and future perspectives |
| title_full | Power system coherency recognition and islanding: Practical limits and future perspectives |
| title_fullStr | Power system coherency recognition and islanding: Practical limits and future perspectives |
| title_full_unstemmed | Power system coherency recognition and islanding: Practical limits and future perspectives |
| title_short | Power system coherency recognition and islanding: Practical limits and future perspectives |
| title_sort | power system coherency recognition and islanding practical limits and future perspectives |
| topic | damping data analysis distributed power generation power distribution control power distribution faults power engineering computing |
| url | https://doi.org/10.1049/esi2.12081 |
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