| Full text | |
| Author(s): |
Lopes, Gabriel V. de S.
;
Moraes, Guido R.
;
Issicaba, Diego
;
Dotta, Daniel
Total Authors: 4
|
| Document type: | Journal article |
| Source: | SUSTAINABLE ENERGY GRIDS & NETWORKS; v. 31, p. 13-pg., 2022-09-01. |
| Abstract | |
With the advance of Wide-Area Measurement Systems (WAMS), power system operators have direct access to a large amount of data with valuable information about the power system dynamic performance. As a result, there is a clear need for new data-driven methodologies capable of extracting relevant information from this collected data. One of the key challenges is correctly detecting power system disturbances to avoid false alarms during real-time operation as well as off-line disturbance analysis. This paper proposes a two-level robust event detection methodology aiming to reduce false disturbance detection (false positives/alarms) and validate true events. The methodology is divided into two-levels:(i) signal processing analysis (ii) deep neural network (DNN) classification. In the first level, we apply a widely used spectral analysis based on the Discrete Wavelet Transform (DWT) to event detection. In the second level, the events detected by the DWT are processed by a DNN to check if they are real events or false alarms. Finally, the proposed methodology is evaluated using real synchrophasor event records from the Brazilian Interconnected Power System (BIPS). (C)& nbsp;2022 Elsevier Ltd. All rights reserved. (AU) | |
| FAPESP's process: | 19/08200-5 - Identifying power system events using a long short-term memory neural network |
| Grantee: | Orlem Lima dos Santos |
| Support Opportunities: | Scholarships abroad - Research Internship - Master's degree |
| FAPESP's process: | 19/10033-0 - Development of data-driven metodology for improvement of pperation of EPS with high penetration of wind/solar generation |
| Grantee: | Daniel Dotta |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 18/20104-9 - Wide-area monitoring, dynamic security analysis and control of modern power system networks |
| Grantee: | Luís Fernando Costa Alberto |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 17/25425-5 - Analysis of artificial neural networks methodologies for event classification using Synchrophasors |
| Grantee: | Orlem Lima dos Santos |
| Support Opportunities: | Scholarships in Brazil - Master |
| FAPESP's process: | 16/08645-9 - Interdisciplinary research activities in electric smart grids |
| Grantee: | João Bosco Ribeiro do Val |
| Support Opportunities: | Research Projects - Thematic Grants |