I'm
DINESH KUMAR MAHTO
Research Scholar, RAMAN LAB
MNIT Jaipur
Data-driven Modelling, Optimal Power Flow, Active Distribution Network
About Me
I am a research scholar at the Malviya National Institute of Technology (MNIT) Jaipur, India. Before joining MNIT, I pursued M. Tech. degree in Power System Engineering at the Birla Institute of Technology Mesra, Ranchi in 2017-19. I defended my Master thesis titled “Online identification of coherent generators in multi machine power systems”. In 2019, I joined the DAV Institute of Engineering & Technology as Assistant Professor. In my PhD studies, I am exploring data driven modelling applications applied to optimal power flow in active distribution network. Motivated by outstanding success of deep learning approaches for creating a more decentralized and intelligent energy paradigm while integrating high intelligence in supervisory and operational decision making. I am working in research group of Dr. Akhilesh Mathur & Prof. Rajesh Kumar in Robotics and machine analytics (RAMAN Lab).
Python
85%
Deep Learning
80%
Machine Learning
80%
MATLAB/Simulink
85%
Pytorch
80%
Tensorflow
85%
Education
M.E (Power Systems)
BIT-Mesra, Ranchi 2019
Bachelor Degree(EEE)
ACE Angul, Odisha 2014
Higher Secondary
DAV Bariatu, Ranchi
Secondary
RTC Buti, Ranchi
Experience
DAV Institute of Engineering and Technology
Daltonganj, Jharkhand
Assistant Professor
Subject:- Power System, Control System
MNIT Jaipur
Jaipur, Rajasthan
Research Assistant
Subject:- BEE(LAB), Power System Simulation LAB
Area Of Research
Data-driven Modelling
Data-driven models finds the relationships between the system state variables without explicit knowledge of the physical behavior of the system.
Deep Learning
Deep learning is a part of broader family of machine learning methods based on artificial neural networks with representation learning.
Optimal Power Flow
OPF problem seeks to control the generation/consumption of generators/loads to optimize certain objectives like Operation & Control Planning problems.
Active Distribution Network
Active management of Renewable energy sources and variable load for future smart grid.
PUBLICATIONS
- D.K. Mahto, F. Kibriya, A. M. Khalkho, D.K. Mohanta, “Data Driven Approach for Wide Area Generator Coherency Detection Using Synchrophasor Measurements”, IEEE Kolkata Region 10 Symposium, TENSYMP 2019, 7-9 June.
- F. Kibriya,D.K. Mahto, A. M. Khalkho, D.K. Mohanta, “Determination of Voltage Control Area Based on Bus Coherency Using Synchronized Phasor Measurements”, IEEE Region 10 Symposium, TENCON 2019, 17-20 October.
- F. Kibriya,D.K. Mahto, D. K. Mohanta, “ A Machine Learning A Machine Learning Approach to the Identification of Voltage Control Area Using Synchrophasor Measurements”, ISAP 2019 10-14 december.
- D.K. Mahto, V.K. Saini, A. Mathur, R. Kumar, A. Saxena,"Data Driven Approach for Optimal Power Flow in Distribution Network" IEEE International Conference on Information Systems and Computer Networks (ISCON), October, 22nd-23rd 2021
- D.K. Mahto, V.K. Saini, A. Mathur, R. Kumar,“Deep learning framework for optimal power flow in active distribution Network”
Contact
D.K. Mahto
Research Scholar (RAMAN LAB)
RAMAN LAB, MNIT Jaipur, Rajasthan, INDIA