Sheila Mahapatra

Sheila Mahapatra received her B.E degree in Electrical Engineering from Utkal University, Orissa, India in 2002. She received her Master’s degree in Power System & Automation from GITAM, Andhra University, Vizag, India in 2008. She received her PhD from The North Cap University, Gurgaon, Haryana. Currently, she is working as an Associate Professor and Head Department of Electrical and Electronics Engineering, in Alliance University, Bangalore. She is a lifetime member of IET. Her area of interest includes power system optimization, stability and control, evolutionary computing. (IEEE TPEC).

Publications

A Review on the Impact of Hybrid Renewable Energy Systems for Sustainability and Energy Management
A Review on the Impact of Hybrid Renewable Energy Systems for Sustainability and Energy Management
Swetha Shekarappa G., Manjulata Badi, Saurav Raj, Sheila Mahapatra, M. Senbagavalli. © 2023. 19 pages.
On account of continuous increase in concerns about environmental deterioration and electrical usage, sustainable energy sources are being commonly used to generate power and...
Future Indian Smart Cities' Renewable Energy Scenarios
Future Indian Smart Cities' Renewable Energy Scenarios
Manjulata Badi, Sheila Mahapatra, Saurav Raj, Swetha Shekarappa G.. © 2023. 16 pages.
Due to the growing energy shortage and rising global temperatures, sustainable development has become more of a necessity than ever before. While renewable energy, sustainable...
A Hybrid GWO-PSO Technique for the Solution of Reactive Power Planning Problem
A Hybrid GWO-PSO Technique for the Solution of Reactive Power Planning Problem
Manjulata Badi, Sheila Mahapatra, Bishwajit Dey, Saurav Raj. © 2022. 30 pages.
Over the years the optimization in various areas of power system has immensely attracted the attention of power engineers and researchers. RPP problem is one of such areas. This...
Implementation and Optimal Sizing of TCSC for the Solution of Reactive Power Planning Problem Using Quasi-Oppositional Salp Swarm Algorithm
Implementation and Optimal Sizing of TCSC for the Solution of Reactive Power Planning Problem Using Quasi-Oppositional Salp Swarm Algorithm
Saurav Raj, Sheila Mahapatra, Chandan Kumar Shiva, Biplab Bhattacharyya. © 2021. 30 pages.
In this article, innovative algorithms named as salp swarm algorithm (SSA) and hybrid quasi-oppositional SSA (QOSSA) techniques have been proposed for finding the optimal...