Online power system dynamic security assessment with incomplete PMU measurements : a robust white-box model
With the development of synchronised measurement technique, online dynamic security assessment (DSA) is of great significance to prevent power system blackout. Recently, based on the phasor measurement unit (PMU) data, intelligent data-driven techniques have been rapidly developed for online DSA owi...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/151943 |
| _version_ | 1826121362372034560 |
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| author | Zhang, Yuchen Xu, Yan Bu, Siqi Dong, Zhao Yang Zhang, Rui |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Zhang, Yuchen Xu, Yan Bu, Siqi Dong, Zhao Yang Zhang, Rui |
| author_sort | Zhang, Yuchen |
| collection | NTU |
| description | With the development of synchronised measurement technique, online dynamic security assessment (DSA) is of great significance to prevent power system blackout. Recently, based on the phasor measurement unit (PMU) data, intelligent data-driven techniques have been rapidly developed for online DSA owing to their fast decision speed, less data requirement, and decision rule discovery ability. The interpretable decision rules provide useful information for preventive control and post-event auditing. However, in case of incomplete measurement events, such as PMU failure, communication loss, and phasor data concentrator failure, the accuracy and the transparency of the intelligent models can be significantly impaired by such incomplete data. To overcome this problem, this paper proposes a robust white-box model that can sustain DSA accuracy and survive the model interpretability and transparency against incomplete PMU data. The proposed model is tested on New England 39-bus system and demonstrates higher robustness over existing methods. |
| first_indexed | 2024-10-01T05:31:25Z |
| format | Journal Article |
| id | ntu-10356/151943 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:31:25Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | ntu-10356/1519432021-07-16T08:11:26Z Online power system dynamic security assessment with incomplete PMU measurements : a robust white-box model Zhang, Yuchen Xu, Yan Bu, Siqi Dong, Zhao Yang Zhang, Rui School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Power System Security Power System Reliability With the development of synchronised measurement technique, online dynamic security assessment (DSA) is of great significance to prevent power system blackout. Recently, based on the phasor measurement unit (PMU) data, intelligent data-driven techniques have been rapidly developed for online DSA owing to their fast decision speed, less data requirement, and decision rule discovery ability. The interpretable decision rules provide useful information for preventive control and post-event auditing. However, in case of incomplete measurement events, such as PMU failure, communication loss, and phasor data concentrator failure, the accuracy and the transparency of the intelligent models can be significantly impaired by such incomplete data. To overcome this problem, this paper proposes a robust white-box model that can sustain DSA accuracy and survive the model interpretability and transparency against incomplete PMU data. The proposed model is tested on New England 39-bus system and demonstrates higher robustness over existing methods. Nanyang Technological University The work in this paper was supported in part by the ARC Discovery under Grant DP170103427, in part by the Tyree Foundation, and in part by the National Natural Science Foundation of China under Project 51807009 and 51777173. Y. Xu's work is supported by Nanyang Assistant Professorship from Nanyang Technological University, Singapore. 2021-07-16T08:11:25Z 2021-07-16T08:11:25Z 2019 Journal Article Zhang, Y., Xu, Y., Bu, S., Dong, Z. Y. & Zhang, R. (2019). Online power system dynamic security assessment with incomplete PMU measurements : a robust white-box model. IET Generation, Transmission and Distribution, 13(5), 662-668. https://dx.doi.org/10.1049/iet-gtd.2018.6241 1751-8687 https://hdl.handle.net/10356/151943 10.1049/iet-gtd.2018.6241 2-s2.0-85062769184 5 13 662 668 en IET Generation, Transmission and Distribution © 2018 The Institution of Engineering and Technology. All rights reserved. |
| spellingShingle | Engineering::Electrical and electronic engineering Power System Security Power System Reliability Zhang, Yuchen Xu, Yan Bu, Siqi Dong, Zhao Yang Zhang, Rui Online power system dynamic security assessment with incomplete PMU measurements : a robust white-box model |
| title | Online power system dynamic security assessment with incomplete PMU measurements : a robust white-box model |
| title_full | Online power system dynamic security assessment with incomplete PMU measurements : a robust white-box model |
| title_fullStr | Online power system dynamic security assessment with incomplete PMU measurements : a robust white-box model |
| title_full_unstemmed | Online power system dynamic security assessment with incomplete PMU measurements : a robust white-box model |
| title_short | Online power system dynamic security assessment with incomplete PMU measurements : a robust white-box model |
| title_sort | online power system dynamic security assessment with incomplete pmu measurements a robust white box model |
| topic | Engineering::Electrical and electronic engineering Power System Security Power System Reliability |
| url | https://hdl.handle.net/10356/151943 |
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