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All Journal Bulletin of Electrical Engineering and Informatics
Dinesh Suryakant Wankhede
St. Vincent Pallotti College of Engineering and Technology
Electrical & Electronics Engineering

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Performance evaluation of superconducting fault current limiters for power system protection Yogesh Shivaji Pawar; Sandip Rahane; Amita Panchamrao Thakare; Dipalee M. Kate; Jyoti P. Rothe; Dinesh Suryakant Wankhede; Kirti Vaidya; Hema Kale; Rakesh G. Shriwastava; Rahul Mapari
Bulletin of Electrical Engineering and Informatics Vol 15, No 4: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i4.11568

Abstract

This paper presents a comprehensive assessment of the performance of superconducting fault current limiters (SFCLs), emphasizing their capability for rapid and effective mitigation of severe fault currents. With the increasing global demand for electrical power, the occurrence of system faults has become more frequent, resulting in high fault currents that generate significant mechanical and thermal stresses. These stresses can compromise the integrity of power system components, including transformers and associated equipment. Conventional methods of fault mitigation often lack adaptability and responsiveness to varying fault conditions. In contrast, the SFCL serves as an efficient stabilizing device, offering superior performance by rapidly limiting fault currents within the first cycle and thereby enhancing the transient stability of the power system. This study examines fault scenarios such as single line-to-ground (L-G), double line-to-ground (L-L-G), and three-phase-to-ground (L-L-L-G) faults, with particular focus on the role of SFCLs in reducing the operational burden on circuit breakers and improving overall system reliability. This study evaluates the performance of SFCL under multiple power system fault scenarios using simulation analysis. The results show that SFCL effectively limits fault current, enhances transient stability, and reduces mechanical and thermal stress on circuit breakers, improving overall grid reliability.
Internet of things-enabled smart monitoring of induction motors for industrial applications Yogesh Shivaji Pawar; Sandip Rahane; Amita Panchamrao Thakare; Dipalee M. Kate; Jyoti P. Rothe; Dinesh Suryakant Wankhede; Kirti Vaidya; Hema Kale; Rakesh G. Shriwastava; Rahul Mapari
Bulletin of Electrical Engineering and Informatics Vol 15, No 4: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i4.11566

Abstract

AC motors, particularly induction motors, remain the most widely used machines in industrial applications due to their simplicity, robustness, and efficiency. Given their critical role, continuous monitoring and regulation of induction motor parameters are essential to ensure reliability and prevent unexpected failures. This research presents an internet of things (IoT-based) system for real-time monitoring and control of a three-phase induction motor. Various sensors are employed to measure key parameters such as motor temperature, current, and voltage, with the collected data transmitted to a processing unit and displayed on a server for remote access. To enhance fault resilience, the system integrates both automatic and manual control mechanisms for starting or stopping motors under abnormal conditions. The proposed approach enables continuous monitoring, early fault detection, and predictive maintenance, thereby improving overall operational efficiency and reducing downtime. Induction motors, first introduced by Nikola Tesla, account for over 50% of global electricity consumption and are deployed in nearly 90% of industrial operations. Their dominance stems from inherent advantages, including being self-starting, cost-effective, reliable, and maintenance-friendly, as well as offering a strong power factor, compact design, and high efficiency. By leveraging IoT technology, this work bridges the gap between traditional motor operation and modern Industry 4.0 practices, providing a scalable solution for smart industrial environments.
Co-Authors Amita Panchamrao Thakare Dipalee M. Kate Hema Kale Jyoti P. Rothe Kirti Vaidya Rahul Mapari Rahul Mapari Rakesh G. Shriwastava Sandip Rahane Sandip Rahane Yogesh Shivaji Pawar