An Advanced Fuzzy Logic Based Method for Power Transformers Assessment

Si Huy Cuong Nguyen; Thanh Phong Mai

doi:doi:10.11648/j.epes.20211005.11

| Peer-Reviewed

An Advanced Fuzzy Logic Based Method for Power Transformers Assessment

Si Huy Cuong Nguyen, Thanh Phong Mai

Published in American Journal of Electrical Power and Energy Systems (Volume 10, Issue 5)

Received: 28 August 2021 Accepted: 11 September 2021 Published: 26 September 2021

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

Dissolved Gas Analysis is an effective method for detecting faulty power transformers in their early stages. However, technical interpretation of results can be complex and highly dependent on the experience of experts. This paper presents an attempt to detect power transformer incipient fault via gas concentrations obtained from oil sampling and Dissolved Gas Analysis. The proposed method uses a sophisticated fuzzy logic system to perform fault type classification. Ratios and relative percentages of 5 key gases (Hydrogen, Methane, Ethane, Ethylene, and Acetylene) are taken as input variables, then the fuzzy system will try to generate an output vector that indicates six basic fault types, including partial, low, and high energy discharges as well as three ranges of thermal fault. This method can be easily implemented in any environment that supports basic mathematical operators. To demonstrate how the proposed fuzzy logic method works, the authors developed an offline MATLAB script and an online web-based application that can provide multiple assessments by various methods simultaneously. The set of membership functions and fuzzy rules presented in this paper allows the detection of multiple faults at once. Performance tests on many actual data sets show that the proposed method achieves better accuracy than the traditional ratio codes, even on a par with state-of-the-art graphical-based tools such as the Duval triangle or pentagon.

Published in	American Journal of Electrical Power and Energy Systems (Volume 10, Issue 5)
DOI	10.11648/j.epes.20211005.11
Page(s)	74-81
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Power Transformer, Incipient Fault Detection, Dissolved Gas Analysis, Fuzzy Logic

References

[1]	"IEEE Guide for Evaluation and Reconditioning of Liquid Immersed Power Transformers," in IEEE Std C57.140-2017 (Revision of IEEE Std C57.140-2006), 2017, doi: 10.1109/IEEESTD.2017.8106924.
[2]	"IEEE Guide for Diagnostic Field Testing of Fluid-Filled Power Transformers, Regulators, and Reactors," in IEEE Std C57.152-2013, 2013, doi: 10.1109/IEEESTD.2013.6544533.
[3]	"IEEE Guide for the Interpretation of Gases Generated in Mineral Oil-Immersed Transformers," in IEEE Std C57.104-2019 (Revision of IEEE Std C57.104-2008), 2019, doi: 10.1109/IEEESTD.2019.8890040.
[4]	R. R. Rogers, "IEEE and IEC Codes to Interpret Incipient Faults in Transformers, Using Gas in Oil Analysis," in IEEE Transactions on Electrical Insulation, vol. EI-13, no. 5, pp. 349-354, Oct. 1978, doi: 10.1109/TEI.1978.298141.
[5]	“Mineral oil-filled electrical equipment in service - Guidance on the interpretation of dissolved and free gases analysis,” in IEC 60599.
[6]	S. Chakravorti, D. Dey, and B. Chatterjee, Recent trends in the condition monitoring of transformers theory, implementation and analysis. London: Springer, 2013.
[7]	M. Duval and A. dePabla, "Interpretation of gas-in-oil analysis using new IEC publication 60599 and IEC TC 10 databases," in IEEE Electrical Insulation Magazine, vol. 17, no. 2, pp. 31-41, March-April 2001, doi: 10.1109/57.917529.
[8]	M. Duval, "A review of faults detectable by gas-in-oil analysis in transformers," in IEEE Electrical Insulation Magazine, vol. 18, no. 3, pp. 8-17, May-June 2002, doi: 10.1109/MEI.2002.1014963.
[9]	M. Duval, "The Duval triangle for load tap changers, non-mineral oils and low temperature faults in transformers," in IEEE Electrical Insulation Magazine, vol. 24, no. 6, pp. 22-29, November-December 2008, doi: 10.1109/MEI.2008.4665347.
[10]	M. Duval and L. Lamarre, "The duval pentagon-a new complementary tool for the interpretation of dissolved gas analysis in transformers," in IEEE Electrical Insulation Magazine, vol. 30, no. 6, pp. 9-12, November-December 2014, doi: 10.1109/MEI.2014.6943428.
[11]	B. M. Taha, S. S. M. Ghoneim and A. S. A. Duaywah, "Refining DGA methods of IEC Code and Rogers four ratios for transformer fault diagnosis," 2016 IEEE Power and Energy Society General Meeting (PESGM), 2016, pp. 1-5, doi: 10.1109/PESGM.2016.7741157.
[12]	D. A. Mansour, "Development of a new graphical technique for dissolved gas analysis in power transformers based on the five combustible gases," in IEEE Transactions on Dielectrics and Electrical Insulation, vol. 22, no. 5, pp. 2507-2512, October 2015, doi: 10.1109/TDEI.2015.004999.
[13]	E. Gouda, S. H. El-Hoshy, and H. H. El-Tamaly, "Proposed heptagon graph for DGA interpretation of oil transformers," IET Generation, Transmission & Distribution, vol. 12, no. 2, pp. 490–498, 2018.
[14]	Hongzhong Ma, Zheng Li, P. Ju, Jingdong Han and Limin Zhang, "Diagnosis of power transformer faults on fuzzy three-ratio method," 2005 International Power Engineering Conference, 2005, pp. 1-456, doi: 10.1109/IPEC.2005.206897.
[15]	Mang-Hui Wang, "A novel extension method for transformer fault diagnosis," in IEEE Transactions on Power Delivery, vol. 18, no. 1, pp. 164-169, Jan. 2003, doi: 10.1109/TPWRD.2002.803838.

Cite This Article

Plain Text BibTeX RIS

APA Style

Si Huy Cuong Nguyen, Thanh Phong Mai. (2021). An Advanced Fuzzy Logic Based Method for Power Transformers Assessment. American Journal of Electrical Power and Energy Systems, 10(5), 74-81. https://doi.org/10.11648/j.epes.20211005.11

Copy | Download

ACS Style

Si Huy Cuong Nguyen; Thanh Phong Mai. An Advanced Fuzzy Logic Based Method for Power Transformers Assessment. Am. J. Electr. Power Energy Syst. 2021, 10(5), 74-81. doi: 10.11648/j.epes.20211005.11

Copy | Download

AMA Style

Si Huy Cuong Nguyen, Thanh Phong Mai. An Advanced Fuzzy Logic Based Method for Power Transformers Assessment. Am J Electr Power Energy Syst. 2021;10(5):74-81. doi: 10.11648/j.epes.20211005.11

Copy | Download

@article{10.11648/j.epes.20211005.11,
  author = {Si Huy Cuong Nguyen and Thanh Phong Mai},
  title = {An Advanced Fuzzy Logic Based Method for Power Transformers Assessment},
  journal = {American Journal of Electrical Power and Energy Systems},
  volume = {10},
  number = {5},
  pages = {74-81},
  doi = {10.11648/j.epes.20211005.11},
  url = {https://doi.org/10.11648/j.epes.20211005.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20211005.11},
  abstract = {Dissolved Gas Analysis is an effective method for detecting faulty power transformers in their early stages. However, technical interpretation of results can be complex and highly dependent on the experience of experts. This paper presents an attempt to detect power transformer incipient fault via gas concentrations obtained from oil sampling and Dissolved Gas Analysis. The proposed method uses a sophisticated fuzzy logic system to perform fault type classification. Ratios and relative percentages of 5 key gases (Hydrogen, Methane, Ethane, Ethylene, and Acetylene) are taken as input variables, then the fuzzy system will try to generate an output vector that indicates six basic fault types, including partial, low, and high energy discharges as well as three ranges of thermal fault. This method can be easily implemented in any environment that supports basic mathematical operators. To demonstrate how the proposed fuzzy logic method works, the authors developed an offline MATLAB script and an online web-based application that can provide multiple assessments by various methods simultaneously. The set of membership functions and fuzzy rules presented in this paper allows the detection of multiple faults at once. Performance tests on many actual data sets show that the proposed method achieves better accuracy than the traditional ratio codes, even on a par with state-of-the-art graphical-based tools such as the Duval triangle or pentagon.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - An Advanced Fuzzy Logic Based Method for Power Transformers Assessment
AU  - Si Huy Cuong Nguyen
AU  - Thanh Phong Mai
Y1  - 2021/09/26
PY  - 2021
N1  - https://doi.org/10.11648/j.epes.20211005.11
DO  - 10.11648/j.epes.20211005.11
T2  - American Journal of Electrical Power and Energy Systems
JF  - American Journal of Electrical Power and Energy Systems
JO  - American Journal of Electrical Power and Energy Systems
SP  - 74
EP  - 81
PB  - Science Publishing Group
SN  - 2326-9200
UR  - https://doi.org/10.11648/j.epes.20211005.11
AB  - Dissolved Gas Analysis is an effective method for detecting faulty power transformers in their early stages. However, technical interpretation of results can be complex and highly dependent on the experience of experts. This paper presents an attempt to detect power transformer incipient fault via gas concentrations obtained from oil sampling and Dissolved Gas Analysis. The proposed method uses a sophisticated fuzzy logic system to perform fault type classification. Ratios and relative percentages of 5 key gases (Hydrogen, Methane, Ethane, Ethylene, and Acetylene) are taken as input variables, then the fuzzy system will try to generate an output vector that indicates six basic fault types, including partial, low, and high energy discharges as well as three ranges of thermal fault. This method can be easily implemented in any environment that supports basic mathematical operators. To demonstrate how the proposed fuzzy logic method works, the authors developed an offline MATLAB script and an online web-based application that can provide multiple assessments by various methods simultaneously. The set of membership functions and fuzzy rules presented in this paper allows the detection of multiple faults at once. Performance tests on many actual data sets show that the proposed method achieves better accuracy than the traditional ratio codes, even on a par with state-of-the-art graphical-based tools such as the Duval triangle or pentagon.
VL  - 10
IS  - 5
ER  -

Copy | Download

Author Information

Si Huy Cuong Nguyen

Technical Department, Electric Testing Company, Ho Chi Minh City, Vietnam
Thanh Phong Mai

Academic Affairs Department, Long An College, Tan An City, Vietnam

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Si Huy Cuong Nguyen, Thanh Phong Mai. (2021). An Advanced Fuzzy Logic Based Method for Power Transformers Assessment. American Journal of Electrical Power and Energy Systems, 10(5), 74-81. https://doi.org/10.11648/j.epes.20211005.11

Copy | Download

ACS Style

Si Huy Cuong Nguyen; Thanh Phong Mai. An Advanced Fuzzy Logic Based Method for Power Transformers Assessment. Am. J. Electr. Power Energy Syst. 2021, 10(5), 74-81. doi: 10.11648/j.epes.20211005.11

Copy | Download

AMA Style

Si Huy Cuong Nguyen, Thanh Phong Mai. An Advanced Fuzzy Logic Based Method for Power Transformers Assessment. Am J Electr Power Energy Syst. 2021;10(5):74-81. doi: 10.11648/j.epes.20211005.11

Copy | Download

@article{10.11648/j.epes.20211005.11,
  author = {Si Huy Cuong Nguyen and Thanh Phong Mai},
  title = {An Advanced Fuzzy Logic Based Method for Power Transformers Assessment},
  journal = {American Journal of Electrical Power and Energy Systems},
  volume = {10},
  number = {5},
  pages = {74-81},
  doi = {10.11648/j.epes.20211005.11},
  url = {https://doi.org/10.11648/j.epes.20211005.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20211005.11},
  abstract = {Dissolved Gas Analysis is an effective method for detecting faulty power transformers in their early stages. However, technical interpretation of results can be complex and highly dependent on the experience of experts. This paper presents an attempt to detect power transformer incipient fault via gas concentrations obtained from oil sampling and Dissolved Gas Analysis. The proposed method uses a sophisticated fuzzy logic system to perform fault type classification. Ratios and relative percentages of 5 key gases (Hydrogen, Methane, Ethane, Ethylene, and Acetylene) are taken as input variables, then the fuzzy system will try to generate an output vector that indicates six basic fault types, including partial, low, and high energy discharges as well as three ranges of thermal fault. This method can be easily implemented in any environment that supports basic mathematical operators. To demonstrate how the proposed fuzzy logic method works, the authors developed an offline MATLAB script and an online web-based application that can provide multiple assessments by various methods simultaneously. The set of membership functions and fuzzy rules presented in this paper allows the detection of multiple faults at once. Performance tests on many actual data sets show that the proposed method achieves better accuracy than the traditional ratio codes, even on a par with state-of-the-art graphical-based tools such as the Duval triangle or pentagon.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - An Advanced Fuzzy Logic Based Method for Power Transformers Assessment
AU  - Si Huy Cuong Nguyen
AU  - Thanh Phong Mai
Y1  - 2021/09/26
PY  - 2021
N1  - https://doi.org/10.11648/j.epes.20211005.11
DO  - 10.11648/j.epes.20211005.11
T2  - American Journal of Electrical Power and Energy Systems
JF  - American Journal of Electrical Power and Energy Systems
JO  - American Journal of Electrical Power and Energy Systems
SP  - 74
EP  - 81
PB  - Science Publishing Group
SN  - 2326-9200
UR  - https://doi.org/10.11648/j.epes.20211005.11
AB  - Dissolved Gas Analysis is an effective method for detecting faulty power transformers in their early stages. However, technical interpretation of results can be complex and highly dependent on the experience of experts. This paper presents an attempt to detect power transformer incipient fault via gas concentrations obtained from oil sampling and Dissolved Gas Analysis. The proposed method uses a sophisticated fuzzy logic system to perform fault type classification. Ratios and relative percentages of 5 key gases (Hydrogen, Methane, Ethane, Ethylene, and Acetylene) are taken as input variables, then the fuzzy system will try to generate an output vector that indicates six basic fault types, including partial, low, and high energy discharges as well as three ranges of thermal fault. This method can be easily implemented in any environment that supports basic mathematical operators. To demonstrate how the proposed fuzzy logic method works, the authors developed an offline MATLAB script and an online web-based application that can provide multiple assessments by various methods simultaneously. The set of membership functions and fuzzy rules presented in this paper allows the detection of multiple faults at once. Performance tests on many actual data sets show that the proposed method achieves better accuracy than the traditional ratio codes, even on a par with state-of-the-art graphical-based tools such as the Duval triangle or pentagon.
VL  - 10
IS  - 5
ER  -

Copy | Download