An Adaptive Neuro-Fuzzy based Methodology for Harmonic Analysis of a Power Transformer

Abstract

The interfering nature of harmonics always causes various power quality issues that impacts on both efficiency, and expected transformer life. Optimal analysis of the three-phase core power transformers using harmonic spectrum can limit these power quality issues. This paper designs the Adaptive Neuro-Fuzzy Inference System (ANFIS) based model for the estimation of losses. Further optimal parameters selection of three-phase power transformer using iron and ferrite core materials. This paper demonstrates factors that deteriorate the power quality, responsible for harmonics distortions and inefficiency in power transformers. The proposed ANFIS based analysis provides an optimal solution to harmonic reduction and improves overall efficiency. Also, providing a comparative study of various core parameters that will be suitable for a three-phase core transformer. The proposed parameters are demonstrated for improving the overall transformer efficiency using iron and ferrite core material. ANSYS Maxwell simulation estimates the Total Harmonic Distortion (THD) and enhances THD in contributing to the optimal core material. The design of a three-phase power transformer and the performance evaluation of the proposed methodology performed in MATLAB simulation environment.

Author Biographies

Shabana Urooj, Department of Electrical Engineering, College of Engineering, Princess Nourah Bint Abdulrahman University, Riyadh Saudi Arabia.
Dr. Shabana Urooj received the B.E. degree in electrical engineering and the M.Tech. degree in electrical with a specialization in instrumentation and control from Aligarh Muslim University, Aligarh, India, in 1998 and 2003, respectively, and the Ph.D. degree in biomedical instrumentation from the Department of Electrical Engineering, Jamia Millia Islamia (A Central University), New Delhi, India, in 2011.,She has approximately three years of industrial and more than 14 years of experience in academics. Since 2011, she has been a Faculty Memberwith the Department of Electrical Engineering, Gautam Buddha University, Greater Noida, India. She has authored or coauthored over 75 papers, which are published in international journals and conference proceedings. Her current research interests include material research,biomedical and environmental instrumentation, sensors system, and computer-based techniques for diagnosis of chronic diseases., Dr. Urooj has been a member of the Executive Committee of the IEEE Delhi Section, India,since 2010. She is an Associate Member of the AmericanCeramic Society and a member of the Electronic Division from 2012 to 2013. She is a member of the Computer Society of India and a Life Member of the Indian Society of Technical Education.
Mohammad Amir, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology (MMMUT), Gorakhpur, India.
Mr. Mohammad Amir received the B.Tech. degrees in electrical engineering from Integral University, Lucknow, India, in 2015, and the M.Tech. degree in specialization of power electronics and drives from the Madan Mohan Malaviya University of Technology (MMMUT A Govt. University), Gorakhpur, India, in 2018, A meritorious student throughout. Mr. Amir was a recipient of MHRD fellowship, Graduate Aptitude Test in Engineering (GATE) also the researcher of several government and ministry funded projects. He is actively IEEE young professional of Asia pacific, also the reviewer of many prestigious international journals. He has published many research papers in his field. His current research interest includes; electric vehicles, intelligent optimization techniques, microgrid developments, renewable energy applications, smart energy management and power market.
Aiman Khan, Department of Electrical Engineering, Indian Institute of Technology (IIT), Ropar, Punjab, India.
Mr. Aiman Khan received Bachelor of Technology degree in Electrical Engineering from Indian Institute of Technology (IIT) Ropar, Punjab, India in 2015. He was the recipient of GATE Fellow in 2016. and since then, he has been working as the Assistant Manager in Powergrid Corporation of India Limited (PGCIL), India, and posted at 800kV HVDC Alipurduar substation. His areas of interest in research include Flexible AC and DC transmission, Power systems operations, Grid integration of renewable energy, High voltage, Power system dynamics.
Mohd Tariq, Department of Electrical Engineering, ZHCET, Aligarh Muslim University, Aligarh, India.
Dr. Mohd Tariq obtained his bachelor’s degree in electrical engineering from Aligarh Muslim University, Aligarh, the master’s degree in machine drives and power electronics from the Indian Institute of Technology (IIT)-Kharagpur and the Ph.D. degree from Nanyang Technological University (NTU), Singapore. He has worked as a Researcher at Rolls-Royce at NTU Corporate Laboratory, Singapore, where he has worked on the design and development of power converters for more electric aircraft. Before joining his Ph.D., he has worked as a scientist with the National Institute of Ocean Technology, Chennai under the Ministry of Earth Sciences, Government of India, where he has worked on the design and development of BLDC motors for underwater remotely operated vehicle application. He also served as an Assistant Professor with the Maulana Azad National Institute of Technology (MANIT), Bhopal, India. He is currently working as an Assistant Professor at Aligarh Muslim University wherein he is leading a team of multiple researchers in the domain of power converters, energy storage devices and their optimal control for electrified transportation and renewable energy application. He has authored more than 120 research articles in international journals/conferences including many articles in IEEE Transactions/Journals. He was a recipient of the 2019 Premium Award for Best Paper in IET Electrical Systems in Transportation Journal for his work on more electric aircraft and also the best paper award from the IEEE Industry Applications Society’s (IAS) and the Industrial Electronic Society (IES), Malaysia Section Annual Symposium (ISCAIE-2016) held in Penang, Malaysia. He is also the founder chair of IEEE AMU Sb and founder chair of IEEE SIGHT AMU.

References

1.Suppitaksakul, C., and Saelee, V. (2009) Application of Artificial Neural Networks for electrical losses estimation in three-phase transformer. 2009 6th International Conference on Electrical Engineering/Electronics Computer, Telecommunications and Information Technology.
2.Rahman, M.A., and Jeyasurya, B. (1988) A stateof-the-art review of transformer protection algorithms. IEEE Transactions on Power Delivery, 3 (2), 534–544.
3.Prasojo, R.A., Diwyacitta, K., Suwarno, and Gumilang, H. (2017) Transformer Paper Expected Life Estimation Using ANFIS Based on Oil Characteristics and Dissolved Gases (Case Study: Indonesian Transformers). Energies, 10 (8), 1135.
4.Singh, R., and Singh, A. (2010) Aging of distribution transformers due to harmonics. Proceedings of 14th International Conference on Harmonics and Quality of Power - ICHQP 2010.
5.Phaengkieo, D., and Ruangsinchaiwanich, S. (2015) Design optimization of electrical transformer using artificial intelligence techniques. 2015 18th International Conference on Electrical Machines and Systems (ICEMS).
6.Urooj, S., Singh, T., Amir, M., and Tariq, M. (2020)
Optimal Design of Power Transformer with Advance Core Material using ANSYS Technique. European Journal of Electrical Engineering and Computer Science, 4 (5).
7.Mohammadpour, H., and Dashti, R. (2011) Localization of short circuit faults in transformers using harmonic analysis and pattern recognition. 2011 International Conference on Advanced Power System Automation and Protection.
8.Turker, T., Yorukeren, N., Sengul, M., and Alboyaci, B. (2008) An artificial neural-net based method for predicting distribution transformer’s total harmonic distortions. 2008 IEEE 2nd International Power and Energy Conference.
9.Wakileh, G.J. (2001) Mitigation of Power System Harmonics, in Power Systems, Springer Berlin Heidelberg, pp. 105–136.
10.Johnson, J.R. (2008) Managing harmonics and resonance with active harmonic filters in an offshore ring main oil field. 2008 13th International Conference on Harmonics and Quality of Power.
11.Digalovski, M., Najdenkoski, K., and Rafajlovski, G. (2013) Impact of current high order harmonic to core losses of three-phase distribution transformer. Eurocon 2013.
12.Ferreira, V.A., and Teixeira, M.D. (2018) The influence of harmonic voltage distortion on power transformer equivalent circuit and losses. 2018 Simposio Brasileiro de Sistemas Eletricos (SBSE).
13.Sadati, S.B., Tahani, A., Darvishi, B., Dargahi, M., and yousefi, H. (2008) Comparison of distribution transformer losses and capacity under linear and harmonic loads. 2008 IEEE 2nd International Power and Energy Conference.
14.Kazem, H.A. (2013) Harmonic Mitigation Techniques Applied to Power Distribution Networks. Advances in Power Electronics, 2013, 1–10.
15.Awadallah, M.A., Xu, T., Venkatesh, B., and Singh, B.N. (2016) On the Effects of Solar Panels newline on Distribution Transformers. IEEE Transactions on Power Delivery, 31 (3), 1176–1185.
16.Platero, C.A., Granizo, R., Blazquez, F., and Marchesi, E. (2018) Testing of non-toroidal shape primary pass-through current transformer for electrical machine monitoring and protection. 2018 IEEE International Conference on Industrial Technology (ICIT).
17.Al-Hmouz, A., Shen, J., Al-Hmouz, R., and Yan, J. (2012) Modeling and Simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Mobile Learning. IEEE Transactions on Learning Technologies, 5 (3), 226–237.
18.Amir, M., and Zaheeruddin (2019) ANN Based Approach for the Estimation and Enhancement of Power Transfer Capability. 2019 International Conference on Power Electronics Control and Automation (ICPECA).
19.Subbanna, S.R., and Suryakalavarthi, M. (2016) Performance analysis of artificial intelligence techniques to control the saturation level in the magnetic core of a welding transformer. 2016 International Conference on Electrical Electronics, and Optimization Techniques (ICEEOT).
20.S¸ahin, M., and Erol, R. (2017) A Comparative Study of Neural Networks and ANFIS for Forecasting Attendance Rate of Soccer Games. Mathematical and Computational Applications, 22 (4), 43.
21.Fan, J., Wang, F., Sun, Q., Bin, F., Liang, F., and Xiao, X. (2017) Hybrid RVM–ANFIS algorithm for transformer fault diagnosis. IET Generation Transmission & Distribution, 11 (14), 3637–3643.
22.Forouhari, S., and Abu-Siada, A. (2018) Application of adaptive neuro fuzzy inference system to support power transformer life estimation and asset management decision. IEEE Transactions on Dielectrics and Electrical Insulation, 25 (3), 845–852.
23.Kim, J., Lai, J.-S., and Liu, X. (2018) Analysis of Harmonic Cancellation Performance of a Shunt Phase-Shift Transformer Rectifier. 2018 IEEE 4th Southern Power Electronics Conference (SPEC).
24.Raharja, L.P.S., Q., O.A., Arief, Z., and Windarko, N.A. (2017) Reduction of Total Harmonic Distortion (THD) on Multilevel Inverter with Modified PWM using Genetic Algorithm. EMITTER International Journal of Engineering Technology, 5 (1), 91–118.
25.Amir, M., and Srivastava, S.K. (2018) Analysis of MPPT Based Grid Connected Hybrid Renewable Energy System with Battery Backup. 2018 International Conference on Computing Power and Communication Technologies (GUCON).
26.Amir, M., and Srivastava, S.K. (2019) Analysis of Harmonic Distortion in PV–Wind-Battery Based Hybrid Renewable Energy System for Microgrid Development, in Lecture Notes in Electrical Engineering, Springer Singapore, pp. 1223–1231.
27.Sambariya, D.K., and Prasad, R. (2016) Selection of Membership Functions Based on Fuzzy Rules to Design an Efficient Power System Stabilizer. International Journal of Fuzzy Systems, 19 (3), 813–828.
28.Er, M.J., and Sun, Y.L. (2001) Hybrid fuzzy proportional-integral plus conventional derivative control of linear and nonlinear systems. IEEE Transactions on Industrial Electronics, 48 (6), 1109–1117.
29.Faiz, J., Ghazizadeh, M., and Oraee, H. (2015) Derating of transformers under non-linear load current and non-sinusoidal voltage – an overview. IET Electric Power Applications, 9 (7), 486–495.
30.Chowdhury, A.H., Grady, W.M., and Fuchs, E.F. (1999) An investigation of the harmonic characteristics of transformer excitation current under nonsinusoidal supply voltage. IEEE Transactions on Power Delivery, 14 (2), 450–458.
Published
2021-01-22
How to Cite
UROOJ, Shabana et al. An Adaptive Neuro-Fuzzy based Methodology for Harmonic Analysis of a Power Transformer. Journal of Power Technologies, [S.l.], v. 101, n. 1, p. 1-10, jan. 2021. ISSN 2083-4195. Available at: <https://papers.itc.pw.edu.pl/index.php/JPT/article/view/1713>. Date accessed: 22 dec. 2024.
Citation Formats
Issue
Vol 101 No 1 (2021)
Section
Electrical Engineering

Keywords

ANFIS (Adaptive Neuro Fuzzy Inference System); AI (Artificial Intelligence); T/F (Transformer); THD (Total Harmonic Distortion); E/M (Electromagnetic); ANSYS Maxwell
Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.