Dr. Shubhranshu Kumar Tiwary

@nitjsr.ac.in

Assistant Professor, Electrical Engineering Department
National Institute of Technology Jamshedpur

Dr. Shubhranshu Kumar Tiwary


                     Download Compact PDF  
https://researchid.co/mail_shubh2005
Dr Shubhranshu Kumar Tiwary received his Bachelor of Technology in Electrical Engineering from Siliguri Institute of Technology (under erstwhile West Bengal University of Technology), West Bengal, India, in 2011. He received his Master of Engineering with Power System specialization in 2013 from the erstwhile Bengal Engineering and Science University, Shibpur, Howrah, India. He received his Ph.D. degree with Power System specialization in Electrical Engineering from the Indian Institute of Engineering Science and Technology, Shibpur, Howrah, India, in the year 2022. He is an Assistant Professor at the Electrical Engineering Department at the National Institute of Technology, Jamshedpur.
His research interests include machine learning applications to power systems and electrical machines. He has published several papers at various national and international conferences and journals. He has also contributed several chapters in International Books.

EDUCATION

Ph.D in Electrical Engineering
M.E. in Electrical Engineering
B. Tech in Electrical Engineering

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Energy Engineering and Power Technology
12

Scopus Publications

74

Scholar Citations

6

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Solar PV-Battery System Connected with the Power Grid: A Comparison of FLC and P&O MPPT
    Amit Bharti, Shubhranshu Kumar Tiwary
    2025 IEEE 2nd International Conference on Green Industrial Electronics and Sustainable Technologies Giest 2025, 2025
    Maximum power point tracking (MPPT) algorithms are necessary because solar-generated electricity is incredibly unpredictable. The traditional perturb and observe ($\mathrm{P} \& \mathrm{O}$) approach has issues with regional fluctuations near the highest power point. Fuzzy logic control is one of the well-established intelligent control strategies for enhancing nonlinear system performance. This research goal is to compare the performance of a grid-connected solar PV system using fuzzy logic control-based MPPT to that of traditional P&O-based MPPT. Several parts of the 5 kW grid-connected solar PV system are designed, especially looking at how the DC-DC converter is controlled using fuzzy logic-based Maximum Power Point Tracking (MPPT) and Perturb and Observe (P&O). In order to evaluate how well the photovoltaic array maintains itself and how much the power produced and DC bus voltage fluctuate; the study also compares outcomes both with and without fuzzy MPPT control. The simulation findings show that the fuzzy logic-based MPPT system works better for solar PV systems that are linked to the grid.
  • Artificial Neural Net Based Performance Index for Voltage Security Assessment
    Shubhranshu Kumar Tiwary, Jagadish Pal, Chandan Kumar Chanda
    Studies in Systems Decision and Control, 2024
  • Multi-Class Classification of Power Network States Using Multi-Dimensional Neural Network
    Shubhranshu Kumar Tiwary, Jagadish Pal, Chandan Kumar Chanda
    Studies in Systems Decision and Control, 2024
  • Multiple-Classification of Power System States Using Multidimensional Neural Network
    Shubhranshu Kumar Tiwary, Jagadish Pal, Chandan Kumar Chanda
    Journal of the Institution of Engineers India Series B, 2023
  • Peak Load Management with Wheeling in a Gas Turbine Station under Availability Based Tariff
    Shubhranshu Kumar Tiwary
    2021 International Conference on Sustainable Energy and Future Electric Transportation Sefet 2021, 2021
    The more energy we save, the less energy we would need to produce. Engineers nowadays are employing more innovative practices to increase energy efficiency. As per the International Statistical Institute, with the Gross National Income of 2020$ per capita, in the year 2018, India is still a developing country. And for the rapidly developing nations with a large population, like China and India, effective utilization of pre-existing resources is of utmost importance. The industrial sector as well the irrigation and farming populace, which are the highest consumers of electricity, need to optimize their energy consumption with adept implementation of methods such as power wheeling and cogeneration. In this paper, a case-study of a Gas Turbine Station at Damodar Valley Corporation, Maithon was undertaken with stress on wheeling of power. Cogeneration has also been studied together with the plan of Availability Based Tariff (ABT) to improve grid regulations and increase the power injected in to the grid. The issue has been simulated with the help of Genetic Algorithm Optimization Toolbox (GAOT) toolbox of MATLAB-R2016a.
  • Evaluation of the Applicability and Advantages of Application of Artificial Neural Network Based Scanning System for Grid Networks
    Shubhranshu Kumar Tiwary, Jagadish Pal, Chandan Kumar Chanda
    Advances in Intelligent Systems and Computing, 2021
  • Multi-dimensional ANN Application for Active Power Flow State Classification on a Utility System
    Shubhranshu Kumar Tiwary, Jagadish Pal, Chandan Kumar Chanda
    2020 IEEE Calcutta Conference Calcon 2020 Proceedings, 2020
    A multi-dimensional ANN has been applied to identify the states of a power network in real-time. Large power systems have multiple transmission lines and crucial parameters on each line to be monitored in real-time which is very complicated, considering the number of parameters to be monitored on each line. After any contingency the power system could transit from normal state to the emergency state within a matter of seconds. These transitions of states could be unprecedented or unexpected at times, and in such a scenario, deciding which lines should be highly ranked in the new steady state, for operator decisions, can be very complicated at times. In this paper, extensive load flow studies have been studied, considering N-1 contingencies. Then for each scenario the power flow on the lines remaining in service have been recorded. Using these recorded data, the power system operation has been classified in the 5 different states, namely, normal, alert, emergency, extreme emergency and restorative states. These data are then used to train a multi-dimensional feed-forward neural network to identify the states in real-time in Software-InLoop (SIL). This paper proposes a multi-dimensional neural network with as many numbers of input nodes as the number of lines and 5 output nodes for the 5 state classifications. This type of ANN could help the Power System Engineer (PSE) to take crucial decisions in the event of severe contingencies in the power network.
  • Ann-based faster indexing with training-error compensation for mw security assessment of power system
    Shubhranshu Kumar Tiwary, Jagadish Pal, Chandan Kumar Chanda
    Lecture Notes in Electrical Engineering, 2020
  • Application of common ANN for similar datatypes in on-line monitoring and security estimation of power system
    Shubhranshu Kumar Tiwary, Jagadish Pal, Chandan Kumar Chanda
    Advances in Intelligent Systems and Computing, 2019
  • ANN application for voltage security assessment of a large test bus system: A case study on IEEE 57 bus system
    Shubhranshu Kr. Tiwary, Jagadish Pal
    2017 6th International Conference on Computer Applications in Electrical Engineering Recent Advances Cera 2017, 2017
    This paper presents a report on the application of Artificial Neural Network for the complex task of Voltage Security Assessment of a large test bus system and the analysis of the difficulties of the method used. The system studied is an IEEE 57 Bus Test System in a registered MATLAB environment [14].
  • ANN application for MW security assessment of a large test bus system
    S. K. Tiwary, J. Pal
    Proceedings 2017 3rd International Conference on Advances in Computing Communication and Automation Fall Icacca 2017, 2017
  • Mimicking on-line monitoring and security estimation of power system using ANN on RT lab
    Shubhranshu Kr. Tiwary, Jagadish Pal, Chandan Kr. Chanda
    2017 IEEE Calcutta Conference Calcon 2017 Proceedings, 2017

RECENT SCHOLAR PUBLICATIONS

  • Enhancing Smart Grid Observability through Optimal PMU Placement using Nonlinear Programming
    A Kumar, S Prasad, SK Yadav, SK Tiwary, A Priyadarshi
    2025 6th International Conference on Smart Electronics and Communication … , 2026
    2026
  • Solar PV-Battery System Connected with the Power Grid: A Comparison of FLC and P&O MPPT
    A Bharti, SK Tiwary
    2025 IEEE 2nd International Conference on Green Industrial Electronics and … , 2026
    2026
  • Multi-Class Classification of Power Network States Using Multi-Dimensional Neural Network
    SK Tiwary, J Pal, CK Chanda
    Recent Advances in Energy Systems, Power and Related Smart Technologies 472 … , 2023
    2023
  • Artificial Neural Net Based Performance Index for Voltage Security Assessment
    SK Tiwary, J Pal, CK Chanda
    Recent Advances in Energy Systems, Power and Related Smart Technologies 472 … , 2023
    2023
  • Multiple-Classification of Power System States Using Multidimensional Neural Network
    SK Tiwary, J Pal, CK Chanda
    Journal of The Institution of Engineers (India): Series B 104 (4), 893–900 , 2023
    2023
    Citations: 3
  • Peak load management with wheeling in a gas turbine station under availability based tariff
    SK Tiwary
    2021 International Conference on Sustainable Energy and Future Electric … , 2021
    2021
    Citations: 2
  • Monitoring static security assessment in its full scope using common artificial neural network
    SK Tiwary, J Pal, CK Chanda
    Intelligent Electrical Systems:, 113-121 , 2021
    2021
    Citations: 4
  • Evaluation of the applicability and advantages of application of artificial neural network based scanning system for grid networks
    SK Tiwary, J Pal, CK Chanda
    Progress in Advanced Computing and Intelligent Engineering: Proceedings of … , 2020
    2020
    Citations: 4
  • Ann-based faster indexing with training-error compensation for mw security assessment of power system
    SK Tiwary, J Pal, CK Chanda
    Energy Systems, Drives and Automations: Proceedings of ESDA 2019, 35-46 , 2020
    2020
    Citations: 6
  • Multi-dimensional ANN application for active power flow state classification on a utility system
    SK Tiwary, J Pal, CK Chanda
    2020 IEEE Calcutta Conference (CALCON), 64-68 , 2020
    2020
    Citations: 10
  • Application of common ANN for similar datatypes in on-line monitoring and security estimation of power system
    SK Tiwary, J Pal, CK Chanda
    Emerging Technologies in Data Mining and Information Security: Proceedings … , 2018
    2018
    Citations: 9
  • Mimicking on-line monitoring and security estimation of power system using ANN on RT lab
    SK Tiwary, J Pal, CK Chanda
    2017 IEEE Calcutta Conference (CALCON), 100-104 , 2017
    2017
    Citations: 9
  • ANN application for voltage security assessment of a large test bus system: A case study on IEEE 57 bus system
    SK Tiwary, J Pal
    2017 6th International Conference on Computer Applications In Electrical … , 2017
    2017
    Citations: 16
  • ANN application for MW security assessment of a large test bus system
    SK Tiwary, J Pal
    2017 3rd International Conference on Advances in Computing, Communication … , 2017
    2017
    Citations: 11

MOST CITED SCHOLAR PUBLICATIONS

  • ANN application for voltage security assessment of a large test bus system: A case study on IEEE 57 bus system
    SK Tiwary, J Pal
    2017 6th International Conference on Computer Applications In Electrical … , 2017
    2017
    Citations: 16
  • ANN application for MW security assessment of a large test bus system
    SK Tiwary, J Pal
    2017 3rd International Conference on Advances in Computing, Communication … , 2017
    2017
    Citations: 11
  • Multi-dimensional ANN application for active power flow state classification on a utility system
    SK Tiwary, J Pal, CK Chanda
    2020 IEEE Calcutta Conference (CALCON), 64-68 , 2020
    2020
    Citations: 10
  • Application of common ANN for similar datatypes in on-line monitoring and security estimation of power system
    SK Tiwary, J Pal, CK Chanda
    Emerging Technologies in Data Mining and Information Security: Proceedings … , 2018
    2018
    Citations: 9
  • Mimicking on-line monitoring and security estimation of power system using ANN on RT lab
    SK Tiwary, J Pal, CK Chanda
    2017 IEEE Calcutta Conference (CALCON), 100-104 , 2017
    2017
    Citations: 9
  • Ann-based faster indexing with training-error compensation for mw security assessment of power system
    SK Tiwary, J Pal, CK Chanda
    Energy Systems, Drives and Automations: Proceedings of ESDA 2019, 35-46 , 2020
    2020
    Citations: 6
  • Monitoring static security assessment in its full scope using common artificial neural network
    SK Tiwary, J Pal, CK Chanda
    Intelligent Electrical Systems:, 113-121 , 2021
    2021
    Citations: 4
  • Evaluation of the applicability and advantages of application of artificial neural network based scanning system for grid networks
    SK Tiwary, J Pal, CK Chanda
    Progress in Advanced Computing and Intelligent Engineering: Proceedings of … , 2020
    2020
    Citations: 4
  • Multiple-Classification of Power System States Using Multidimensional Neural Network
    SK Tiwary, J Pal, CK Chanda
    Journal of The Institution of Engineers (India): Series B 104 (4), 893–900 , 2023
    2023
    Citations: 3
  • Peak load management with wheeling in a gas turbine station under availability based tariff
    SK Tiwary
    2021 International Conference on Sustainable Energy and Future Electric … , 2021
    2021
    Citations: 2
  • Enhancing Smart Grid Observability through Optimal PMU Placement using Nonlinear Programming
    A Kumar, S Prasad, SK Yadav, SK Tiwary, A Priyadarshi
    2025 6th International Conference on Smart Electronics and Communication … , 2026
    2026
  • Solar PV-Battery System Connected with the Power Grid: A Comparison of FLC and P&O MPPT
    A Bharti, SK Tiwary
    2025 IEEE 2nd International Conference on Green Industrial Electronics and … , 2026
    2026
  • Multi-Class Classification of Power Network States Using Multi-Dimensional Neural Network
    SK Tiwary, J Pal, CK Chanda
    Recent Advances in Energy Systems, Power and Related Smart Technologies 472 … , 2023
    2023
  • Artificial Neural Net Based Performance Index for Voltage Security Assessment
    SK Tiwary, J Pal, CK Chanda
    Recent Advances in Energy Systems, Power and Related Smart Technologies 472 … , 2023
    2023