Remote Monitoring of High Voltage Transmission Line Insulators
This presentation begins by discussing the causes of high-voltage insulator failure and reviewing current monitoring tools and indices. It then focuses on key research challenges in remote monitoring of transmission line insulators: mitigating field noise, reducing power consumption in on-site leakage current waveform acquisition, and minimizing the impact of voltage harmonics on leakage current characterization. To address field noise related issues, a method using instantaneous signal characteristics is proposed to distinguish between noise and genuine electrical activity, alongside a low-complexity Short-Time Hilbert Transform approach that eliminates the need for threshold definitions and can detect multiple spikes in waveforms. To reduce power consumption, a compressed sensing technique is introduced, integrating data acquisition, processing, and compression into one step, shifting computational load to a centralized decoder and thereby lowering the power and hardware requirements of field devices. Lastly, to counter the influence of voltage harmonics, a method based on the time integral of leakage current is presented, offering stable characterization without requiring prior knowledge of voltage harmonic content.
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Sivaji
Remote Monitoring of High Voltage Transmission Line Insulators
This presentation begins by discussing the causes of high-voltage insulator failure and reviewing current monitoring tools and indices. It then focuses on key research challenges in remote monitoring of transmission line insulators: mitigating field noise, reducing power consumption in on-site leakage current waveform acquisition, and minimizing the impact of voltage harmonics on leakage current characterization. To address field noise- related issues, a method using instantaneous signal characteristics is proposed to distinguish between noise and genuine electrical activity, alongside a low-complexity Short-Time Hilbert Transform approach that eliminates the need for threshold definitions and can detect multiple spikes in waveforms. To reduce power consumption, a compressed sensing technique is introduced, integrating data acquisition, processing, and compression into one step, shifting computational load to a centralized decoder and thereby lowering the power and hardware requirements of field devices. Lastly, to counter the influence of voltage harmonics, a method based on the time integral of leakage current is presented, offering stable characterization without requiring prior knowledge of voltage harmonic content.
Biography:
Dr. Sivaji Chakravorti did his PhD from Jadavpur University, Kolkata, India, in 1993, where he is currently Professor in Electrical Engineering. From August 2015 to August 2020, he was the Director of National Institute of Technology Calicut, India. He worked at the Technical University Munich, Siemens AG in Berlin, ABB Corporate Research at Ladenburg, Germany, Virginia Tech, USA, and Technical University Hamburg-Harburg. He is the recipient of Technical University Munich Ambassador Award in 2013. He is Fellow of the Indian National Science Academy, Fellow of Indian National Academy of Engineering, Fellow of National Academy of Sciences India and Distinguished Lecturer of IEEE Power and Energy Society. He is presently Vice-President of the Indian National Academy of Engineering. He was Chairman of IEEE India Council during 2017-2018. He was also an Associate Editor of IEEE Transactions on Dielectrics & Electrical Insulation. He has published more than 275 research papers, authored three books and owns one US patent, four Indian patents and two software copyrights. His current fields of interest are condition monitoring of power equipment, numerical field computation and optimization of insulation system.
Address:Jadavpur University, Department of Electrical Engineering, Kolkatha, West Bengal, India