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Mini S. Thomas

Researcher at Jamia Millia Islamia

Publications -  110
Citations -  1055

Mini S. Thomas is an academic researcher from Jamia Millia Islamia. The author has contributed to research in topics: Smart grid & Fault (power engineering). The author has an hindex of 16, co-authored 100 publications receiving 908 citations. Previous affiliations of Mini S. Thomas include Indian Institute of Technology Delhi & Central University, India.

Papers
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Reliable, Fast, and Deterministic Substation Communication Network Architecture and its Performance Simulation

TL;DR: Improved reliability, availability, and survivability of the SAS are demonstrated through the unique architectural features of this SCN, whereas the end-to-end (ETE) time-delay performance of the SCN architecture is evaluated with the help of simulation.
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Design, development, and commissioning of a supervisory control and data acquisition (SCADA) laboratory for research and training

TL;DR: In this paper, a state-of-the-art Supervisory Control and Data Acquisition (SCADA) Laboratory facility for power systems at Jamia Millia Islamia, New Delhi, India is reported.
Book

Power System SCADA and Smart Grids

TL;DR: In this article, the authors provide an overview of SCADA systems, evolution, and use in power systems and the data acquisition process, from the legacy remote terminal units (RTUs) to the latest intelligent electronic devices (IEDs), data concentrators, and master stations, as well as a comprehensive discussion of the data communication, protocols and media usage.
Journal Article

Remote Control

TL;DR: The advances in instrumentation, intelligent electronic devices, and Ethernet-based communication media, coupled with the availability of cheaper automation products and the standardization of communication protocols, have led to the widespread automation of power systems, especially in the transmission and distribution sector.
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Comprehensive Control for Microgrid Autonomous Operation With Demand Response

TL;DR: The simulation results validate the proposed strategies providing frequency regulation and DR for MG autonomous operation and provide an on-line tool for household maximum demand allocation and load management.