52 Views
·
78 Downloads
·
☆☆☆☆☆ 0.0
Persistence of excitation in an online monitoring of transformer: A system identification perspective
PUBLISHED June 19, 2023 (DOI: https://doi.org/10.54985/peeref.2306p6632433)
NOT PEER REVIEWED
-
Authors
-
Shadab Nayyer Syed1
- Veermata Jijabai Technological Institute (VJTI), Mumbai, India
-
Conference / event
- Power & Energy Society General Meeting (PESGM-22) 2022, July 2022 (Virtual)
-
Poster summary
- For effective online monitoring to assess thermal performance and life expectancy, top-oil temperature (TOT) and hot spot temperature (HST) should be accurately estimated. The thermal-electrical analogy is used for the model based on the resistance-capacitance (RC) circuit to approximate the evolution of thermal performance. The Gradient-based estimation guarantees the convergence of the parameter estimation error to zero only when the persistence of excitation (PE) condition holds for regressor signals. As the choice of input-output data used for parameter identification is crucial, the design of experiment (DoE) is generally performed in the laboratory to satisfy PE conditions.
-
Keywords
- Hotspot, Top-oil temperature, Persistence of excitation, System identification, Tranformer
-
Research areas
- Electrical Engineering
-
References
-
- D. Susa, M. Lehtonen, and H. Nordman, “Dynamic thermal modelling of power transformers,” IEEE Trans on Power Delivery, vol. 20, no. 1, pp. 197–204, Feb. 2005
- B. C. Lesieutre, W. H. Hagman, and J. Kirtley, “An improved transformer top oil temperature model for use in an on-line monitoring and diagnostic system,” IEEE Trans on Power Delivery, vol. 12, no. 1, pp. 249–256.
- Syed Shadab, J. Hozefa, K. Sonam, S. Wagh, and N. M. Singh, “Gaussian process surrogate model for an effective life assessment of transformer considering model and measurement uncertainties,” Int Journal of Electrical Power & Energy Systems, vol. 134, p. 107401, 2022.
- Syed Shadab “Persistence of excitation in an Online Monitoring of Transformers", Power and Energy Society (PES) General Meeting (GM), 2022
-
Funding
- No data provided
-
Supplemental files
- No data provided
-
Additional information
-
- Competing interests
- No competing interests were disclosed.
- Data availability statement
- Data sharing not applicable to this poster as no datasets were generated or analyzed during the current study.
- Creative Commons license
- Copyright © 2023 Syed. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Share
Rate
Cite
Syed, S. Persistence of excitation in an online monitoring of transformer: A system identification perspective [not peer reviewed]. Peeref 2023 (poster).
Copy citation
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started