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Dr. Shravan Kumar Yadav

Assistant Professor, Department of Engineering, SR University, Warangal, Telangana, India

IMPARC ID: IMP-MM-ENGG-TG-IND-2026-2340

Profile Summary

Dr. Shravan Kumar Yadav is an Assistant Professor currently serving at SR University, Warangal, Telangana, India. He has successfully completed his Ph.D. in Electrical Engineering from the National Institute of Technology (NIT), Jamshedpur, with a research focus on intelligent controllers for power quality improvement using PV–Wind–BESS integrated UPQC systems. His academic and research work centers on power systems, power quality enhancement, distributed generation, control systems, and renewable energy integration. Dr. Yadav has authored multiple peer-reviewed publications, including SCIE-indexed journals, book chapters, and IEEE international conference papers. He is also an inventor on granted Indian patents related to renewable energy and environmental sustainability. In addition to teaching and research, he actively contributes as a reviewer for several international journals and has been involved in organizing academic workshops and conferences.

Subject Matter Expertise

STEM →
– Power & Energy
– Renewable Energy
– Electrical Engineering
– Power Engineering

Mentorship Offered

Consulting →
– Scientific and Technical Consulting

Research →
– Scientific and Technical Research

Work Experience Summary

Dr. Shravan Kumar Yadav has academic experience as an Assistant Professor, alongside extensive research experience in power quality improvement using renewable energy-based hybrid energy systems. His work includes supervising research activities, publishing in high-impact journals, contributing to patents, and participating in academic peer review and conference organization.
Institution Name: SR University
Job Title: Assistant Professor
Duration: Present
Description: Teaching, research, and mentorship in the field of Electrical Engineering, with a focused emphasis on power quality improvement and renewable energy systems

Educational Summary

Dr. Yadav has a strong academic foundation in electrical engineering, progressing from undergraduate studies to doctoral research with specialized focus on power systems, control strategies, and renewable energy integration.
National Institute of Technology (NIT), Jamshedpur, India
Degree: Ph.D.
Field: Electrical Engineering
Duration: October 2020 – September 2024

Biju Patnaik University of Technology, Rourkela, Odisha, India
Degree: M.Tech.
Field: Power System Engineering
Duration: 2017 – 2019

Biju Patnaik University of Technology, Rourkela, Odisha, India
Degree: B.E.
Field: Electrical and Electronics Engineering
Duration: 2010 – 2014

Achievements

Industrial Automation – PLC Programming and VLSI
Issued By: Central Tool Room & Training Centre (CTTC), Bhubaneswar – Ministry of MSME, Government of India

AutoCAD 2013
Issued By: Indo Danish Tool Room, Jamshedpur

Patents

1. ARTIFICIAL TREE FOR OXYGEN PRODUCTION AND ATMOSPHERIC PURIFICATION
Type: Indian Patent (Granted)
Patent No.: 525080
Date of Filing: 18/01/2023
Publication Date (U/S 11A): 27/01/2023
Status: Published and Granted

2. SOLAR AND WIND POWERED CHARGING STATION FOR ELECTRIC CARS
Type: Indian Design Patent (Granted)
Date of Filing: 23/04/2024
Status: Published and Granted

Publication Summary

Dr. Yadav has an extensive publication record that includes SCIE-indexed journal articles, book chapters published by Springer, and multiple IEEE international conference papers, primarily focused on power quality improvement, UPQC, and renewable energy systems.
1. A Hybrid Metaheuristic Assisted Collateral Fractional-Order Controller for Three-Phase Solar PV, BESS, and Wind-Integrated UPQC
Authors: Yadav, S.K.; Yadav, K.B.
Journal: Soft Computing
Year: 2024
DOI: https://doi.org/10.1007/s00500-023-09507-9

2. An Optimized Fractional Order PI Controller for Enhancing the Power Quality of Three-Phase Solar PV, BESS, and Wind Integrated UPQC
Authors: Shravan Kumar Yadav; Krishna Bihari Yadav
Journal: Chinese Journal of Electronics
DOI: 10.23919/cje.2022.00.079
Status: Published

3. Performance Analysis of Three-Phase Solar PV, BESS, and Wind Integrated UPQC for Power Quality Improvement
Authors: Shravan Kumar Yadav; Krishna Bihari Yadav; Alok Priyadarshi
Journal: Computers and Electrical Engineering
ISSN: 0045-7906
DOI: https://doi.org/10.1016/j.compeleceng.2024.109230

4. Optimal Placement of UPQC in Distribution Network Using Hybrid Approach
Authors: Yadav, S.K.; Sabitha, B.; Prabhakaran, A.
Journal: Cybernetics and Systems
Year: 2022
DOI: https://doi.org/10.1080/01969722.2022.2129378

5. Performance Analysis of Hybrid Metaheuristic Assisted Collateral Fractional-Order Controller for HRES System Integrated UPQC
Authors: Shravan Kumar Yadav; Krishna Bihari Yadav
Journal: Computers and Electrical Engineering
ISSN: 0045-7906
DOI: https://doi.org/10.1016/j.compeleceng.2024.109664

6. A Hybrid Algorithm Based Optimal Fractional Order Proportional Integral Controller
Authors: Shravan Kumar Yadav; Alok Priyadarshi
Journal: Optimal Control Applications & Methods

7. Optimal UPFC Placement and Sizing for Improving Power System Dynamic Stability Using an Enhanced Contractive Crested Porcupine Multilayer Perceptron
Authors: Alok Priyadarshi; Madhu Singh; Shravan Kumar Yadav
Journal: Journal of Electrical Engineering & Technology

8. Pelican Optimization Tuned Cascaded Controller for Power Quality Enhancement in Renewable Sources Connected System Using UPQC
Authors: Alok Priyadarshi; Madhu Singh; Ranjan Kumar; Shravan Kumar Yadav
Journal: Journal of Dynamics and Control

BOOK CHAPTERS

1. FOPI Controller with Chicken Swarm Optimization for Power Quality Improvement of HES System Integrated UPQC
Authors: Yadav, S.K.; Yadav, K.B.
Book Title: Computational Vision and Bio-Inspired Computing
Publisher: Springer, Singapore
Year: 2023
DOI: https://doi.org/10.1007/978-981-19-9819-5_28

2. Implementation of Three-Phase Hybrid Energy System Integrated with UPQC
Authors: Yadav, S.K.; Yadav, K.B.
Book Title: Recent Advances in Power Electronics and Drives
Publisher: Springer, Singapore
Year: 2022
DOI: https://doi.org/10.1007/978-981-16-9239-0_23

CONFERENCES

1. Firefly Algorithm in FOPI Controller for Improving Power Quality of Three-Phase HES System Integrated UPQC
Authors: S. K. Yadav; K. B. Yadav
Conference: IEEE 3rd Global Conference for Advancement in Technology (GCAT 2022)
Year: 2022
DOI: 10.1109/GCAT55367.2022.9971923

2. FO-PI Controller for Regulating DC Link Voltage in UPQC Integrated HES System for Power Quality Improvement
Authors: S. K. Yadav; K. B. Yadav
Conference: 3rd International Conference on Smart Electronics and Communication (ICOSEC 2022)
Year: 2022
DOI: 10.1109/ICOSEC54921.2022.9951983

3. Seagull Optimization in FO-PI Controller of UPQC Integrated Hybrid RES System for Power Quality Improvement
Authors: S. K. Yadav; K. Bihari Yadav
Conference: Smart Technologies, Communication and Robotics (STCR 2022), Sathyamangalam, India
Year: 2022
DOI: 10.1109/STCR55312.2022.10009191

4. The Role of BESS and UPQC in PV Integrated Power System for Power Quality Improvement: A Brief Review
Authors: S. K. Yadav; K. B. Yadav
Conference: 2nd International Conference on Smart Electronics and Communication (ICOSEC 2021)
Year: 2021
DOI: 10.1109/ICOSEC51865.2021.9591826

5. Speed Control of 3-Phase Induction Motors Using Different PWM Techniques
Authors: J. Ram; A. Priyadarshi; S. K. Yadav; S. Suman
Conference: IEEE 1st International Conference on Smart and Sustainable Developments in Electrical Engineering (SSDEE 2025), Dhanbad, India
Year: 2025
DOI: 10.1109/SSDEE64538.2025.10967920

6. Power Quality Enhancement of 3-Phase HRES Systems Incorporated UPQC Using Slime Mould Algorithm
Authors: A. Priyadarshi; S. K. Yadav
Conference: International Conference on Electrical, Electronics & Automation (E2ACON 2025), NIT Jalandhar

7. Innovation in Artificial Neural Networks for Solar Radiation Prediction
Role: Convener
Type: One-Day Webinar / Workshop
Date: 17 May 2025
Organized By: Department of Electrical and Electronics Engineering, PSYEC
Description: Successfully coordinated and conducted a focused academic workshop emphasizing the application of artificial neural networks for accurate solar radiation prediction in renewable energy systems.

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