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


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.


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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: <>. Date accessed: 28 sep. 2021.
Electrical Engineering


ANFIS (Adaptive Neuro Fuzzy Inference System); AI (Artificial Intelligence); T/F (Transformer); THD (Total Harmonic Distortion); E/M (Electromagnetic); ANSYS Maxwell

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