Asha Rani M A | Renewable Energy Systems | Best Researcher Award

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Assist. Prof. Dr. Asha Rani M A | Renewable Energy Systems | Best Researcher Award

Assistant Professor, Department of Electrical Engineering, National Institute of Technology Silchar, Assam India

Dr. Asha Rani M. A. is an Assistant Professor at the Department of Electrical Engineering, National Institute of Technology Silchar, Assam, India. She earned her Ph.D. in Electrical Engineering from NIT Tiruchirappalli in 2016, specializing in power control of Doubly Fed Induction Generators under unbalanced grid voltage. With over 14 years of experience in teaching, Dr. Asha Rani has contributed significantly to renewable energy, particularly in wind power generation and grid integration. She has authored multiple publications in reputed journals and presented her work at national and international conferences.

Publication Profile

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🎓 Education

Dr. Asha Rani completed her Ph.D. in Electrical Engineering from NIT Tiruchirappalli in 2016, focusing on power control techniques for Doubly Fed Induction Generators with unbalanced grid voltage. She earned her M.Tech. in Industrial Drives and Control from Rajiv Gandhi Institute of Technology, Kottayam, in 2008, and a B.Tech. in Electrical & Electronics Engineering from Cochin University of Science and Technology’s College of Engineering Perumon.

🧑‍🏫 Experience

Dr. Asha Rani has over 14 years of teaching experience, with 7.5 years post-Ph.D. tenure. She is currently an Assistant Professor at NIT Silchar since 2019, where she holds various academic positions. Previously, she worked as a Senior Assistant Professor and Head of the Department at Madanapalle Institute of Science & Technology, Andhra Pradesh. Dr. Asha Rani also served as a Junior Research Engineer at the Fluid Control Research Institute under the Government of India.

🏆 Awards & Honors

Dr. Asha Rani has received several awards, including the Best Project Award in Anveshan 2.0 at NIT Silchar, a North East Students Travel Grant from IEEE for the PEDES 2022 conference, and a DST-SERB grant for her research on enhancing DFIG-based wind power plants. She has also published multiple patents, including a grid-tied solar-powered pump.

🔬 Research Focus

Dr. Asha Rani’s research primarily revolves around renewable energy, with a focus on wind power generation, specifically Doubly Fed Induction Generators (DFIG). Her work includes flux minimization techniques for enhancing DFIG operation under grid voltage distortions. She is also involved in sustainable energy systems for carbon-neutral energy communities and has contributed to numerous R&D projects funded by organizations like DST, MSME, and the EU.

🏆Conclusion 

Dr. Asha Rani M. A. is a dedicated academic and researcher whose contributions to Electrical Engineering, particularly in renewable energy and power systems, make her a strong candidate for the Best Researcher Award. Her ability to secure funding, guide students, and publish influential research places her at the forefront of her field. With a proven track record of success and a clear passion for advancing energy systems, she is well-deserving of recognition. However, focusing on expanding her interdisciplinary reach and international visibility could further elevate her profile.

Publication Top Notes

  • Title: An effective reference generation scheme for DFIG with unbalanced grid voltage
    Year: 2014
    Authors: MAA Rani, C Nagamani, GS Ilango, A Karthikeyan
    Citations: 57

 

  • Title: An improved rotor PLL (R-PLL) for enhanced operation of doubly fed induction machine
    Year: 2016
    Authors: MAA Rani, C Nagamani, GS Ilango
    Citations: 33

 

  • Title: An improved control for simultaneous sag/swell mitigation and reactive power support in a grid-connected wind farm with DVR
    Year: 2018
    Authors: S Priyavarthini, C Nagamani, GS Ilango, MAA Rani
    Citations: 32

 

  • Title: Renewable power generation Indian scenario: a review
    Year: 2015
    Authors: C Nagamani, G Saravana Ilango, MJB Reddy, MAA Rani, …
    Citations: 26

 

  • Title: Compensation of magnetizing current for enhanced operation of DFIG under grid unbalance
    Year: 2016
    Authors: MAA Rani, C Nagamani, GS Ilango
    Citations: 15

 

  • Title: A versatile method for computation of power pulsations in DFIG under grid imperfections
    Year: 2016
    Authors: MAA Rani, C Nagamani, GS Ilango
    Citations: 13

 

  • Title: An improved angular stator flux frequency computation method for robust MPPT operation of DFIG under unbalanced grid voltage
    Year: 2022
    Authors: MAA Rani, M Chakkarapani, C Nagamani, GS Ilango
    Citations: 8

 

  • Title: Decoupled control of doubly-fed-induction generator under unbalanced grid voltage with modified reference generation
    Year: 2013
    Authors: MAA Rani, A Karthikeyan, C Nagamani
    Citations: 6

 

  • Title: Performance Evaluation of R-PLL for Robust Sensorless Operation of DFIG under Harmonics, DC Offset and Phase Jump in Grid Voltage
    Year: 2021
    Authors: MAA Rani, M Chakkarapani, C Nagamani, GS Ilango, MJB Reddy
    Citations: 5

 

  • Title: Natural flux minimisation technique for enhanced operation of doubly‐fed induction generator
    Year: 2016
    Authors: MA Asha Rani, C Nagamani, GS Ilango
    Citations: 4

 

  • Title: Sensor-less estimation of rotor position in a doubly fed induction machine
    Year: 2017
    Authors: G Saravana Ilango, C Nagamani, MA Asha Rani, M Jaya Bharata Reddy, …
    Citations: 3

 

  • Title: An implicit rotor speed computation algorithm for squirrel cage induction motor
    Year: 2016
    Authors: C Nagamani, MAA Rani, GS Ilango, NP Kumar
    Citations: 3

 

 

Naladi Ram Babu | Power Systems | Best Researcher Award

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Dr. Naladi Ram Babu | Power Systems | Best Researcher Award

Assistant Professor, Aditya University, India

Dr. Naladi Ram Babu is an accomplished electrical engineer specializing in power systems, renewable energy, and fractional-order control. With a Ph.D. from NIT Silchar, he combines academic rigor and practical expertise as an Assistant Professor at Aditya Engineering College. Dr. Babu has received multiple accolades for his research, including best paper awards in international conferences. His career spans teaching, research, and organizing academic events, contributing to the fields of energy management and automation. Passionate about emerging technologies, he aims to drive innovation in sustainable energy solutions.

Publication Profile

Scopus

Orcid

google scholar

🎓 Education

Ph.D. (2022): Electrical Engineering (Power Systems), NIT Silchar, CGPA: 8.00. M.Tech (2017): Power & Energy Systems Engineering, NIT Silchar, CGPA: 8.75. B.Tech (2013): Electrical & Electronics Engineering, Bapatla Engineering College, 77.5%. Class 12 (2009): Sri Chaitanya Narayana Jr. College, 92.10%. Class 10 (2007): St. Ann’s English Medium High School, 87.33%

💼 Experience

Assistant Professor (2022–Present): Aditya Engineering College, Surampalem. Adhoc Faculty (2022): NIT Calicut. Assistant Professor (2021): Chalapathi Institute of Engineering and Technology. Teaching Assistant (2017–2021): NIT Silchar.Teaching Assistant (2015–2017): NIT Silchar

🏆 Awards & Honors

Best Paper Award (2021): “Modified Droop Control for AC Microgrids,” IEEE ComPE-2021. Best Paper Award (2022): “PID Controllers in Multi-Area AGC,” ACDOS Conference. Coordinated multiple workshops and FDPs on electrical engineering trends and renewable energy

🔬 Research Focus

Topics: Automatic generation control, fractional-order systems, renewable energy integration. Goals: Enhancing dynamic responses in power systems and optimizing renewable energy networks. Contributions: Published impactful research on AGC, droop control, and advanced PID controllers

Conclusion

Dr. Naladi Ram Babu is a promising candidate for the Best Researcher Award, with a strong academic foundation, research excellence, and a dedication to teaching and knowledge-sharing. His work in power systems and renewable energy is both timely and significant, and his proactive approach in organizing educational events and workshops demonstrates his leadership. Expanding his research horizons and increasing his global visibility could further solidify his position as a leading researcher in his field.

Publication Top Notes

  1. Title: A comprehensive review of recent strategies on automatic generation control/load frequency control in power systems
    Year: 2023
    Authors: N Ram Babu, SK Bhagat, LC Saikia, T Chiranjeevi, R Devarapalli, …
    Citations: 73

 

  1. Title: Automatic generation control of a solar thermal and dish‐stirling solar thermal system integrated multi‐area system incorporating accurate HVDC link model using crow search
    Year: 2019
    Authors: N Ram Babu, L Chandra Saikia
    Citations: 60

 

  1. Title: Load frequency control of a multi‐area system incorporating realistic high‐voltage direct current and dish‐Stirling solar thermal system models under deregulated scenario
    Year: 2021
    Authors: NR Babu, LC Saikia
    Citations: 49

 

  1. Title: AGC of a multiarea system incorporating accurate HVDC and precise wind turbine systems
    Year: 2019
    Authors: N Ram Babu, LC Saikia
    Citations: 44

 

  1. Title: Impact of PLL and virtual inertia on deregulated AGC system integrated with parallel AC/HVDC
    Year: 2023
    Authors: SK Bhagat, LC Saikia, NR Babu, D Saha
    Citations: 33

 

  1. Title: Application of hybrid crow-search with particle swarm optimization algorithm in AGC studies of multi-area systems
    Year: 2020
    Authors: NR Babu, SK Bhagat, LC Saikia, T Chiranjeevi
    Citations: 26

 

  1. Title: A review on various secondary controllers and optimization techniques in automatic generation control
    Year: 2023
    Authors: SK Bhagat, NR Babu, LC Saikia, T Chiranjeevi, R Devarapalli, …
    Citations: 17

 

  1. Title: Optimal location of accurate HVDC and energy storage devices in a deregulated AGC integrated with PWTS considering HPA-ISE as performance index
    Year: 2022
    Authors: NR Babu, LC Saikia
    Citations: 17

 

  1. Title: Maiden Application of Meta-Heuristic Techniques with Optimized Integral minus Tilt-Derivative Controller for AGC of Multi-area Multi-Source System
    Year: 2020
    Authors: SK Bhagat, NR Babu, LC Sakia, DK Raju
    Citations: 16

 

  1. Title: Impact of spotted hyena optimized cascade controller in load frequency control of wave-solar-double compensated capacitive energy storage based interconnected power system
    Year: 2022
    Authors: A Saha, P Dash, NR Babu, T Chiranjeevi, B Venkateswararao, …
    Citations: 15

 

  1. Title: Optimal unified frequency and voltage control of multi-area multi-source power system using the cascaded PIDN-TIDF controller
    Year: 2020
    Authors: SK Ramoji, LC Saikia, B Dekaraja, MK Behera, SK Bhagat, NR Babu
    Citations: 15

 

  1. Title: Effect of partial loading on a three‐area hydro‐thermal system integrated with realistic dish‐Stirling solar thermal system, accurate model of high‐voltage direct link
    Year: 2021
    Authors: SK Bhagat, LC Saikia, NR Babu
    Citations: 14

Chixin Xiao | Smart Grid | Best Researcher Award

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Dr. Chixin Xiao | Smart Grid | Best Researcher Award

Professor at Xiangtan University China

Chixin Xiao is a Professor of Computer Science at Xiangtan University, China, with extensive experience in computational intelligence and power engineering. He has held academic roles at the University of Essex, the University of Newcastle, and Hong Kong Cyberport, and his work focuses on smart grid resilience and electricity market optimization.

Publication profile

Scopus

Orcid

Education 🎓

Chixin earned his Master’s degree in Computer Science from Xiangtan University in 2004, his first Ph.D. in Computer Application Technology from Central South University in 2009, and his second Ph.D. in Power Engineering from the University of Wollongong, Australia, in 2021.

Experience 💼

Chixin Xiao has served in various academic positions at leading institutions, including the University of Essex and the University of Newcastle, Australia. Currently a professor at Xiangtan University, he continues his research and teaching despite COVID-19 restrictions.

Awards and Honors 🏆

As a Senior Member of IEEE, Chixin Xiao has been recognized for his contributions to computational intelligence and power engineering, earning accolades for his research on smart grid systems and power system modeling.

Research Focus 🔬

Chixin’s research centers on computational intelligence, focusing on smart grid resilience, power system planning, and optimization in electricity markets. His work aims to improve energy efficiency and the reliability of power systems.

Publication

  1. Blockchain-based Anonymous Authentication and Data Aggregation for Advanced Metering Infrastructure in Smart Grid
    • Authors: T. Pei, Z. Hou, J. Zhou, C. Xiao, J. Zou
    • Published In: International Journal of Critical Infrastructure Protection, 2024
    • Citations: 0

 

  1. Online Sequential Extreme Learning Machine Algorithm for Better Predispatch Electricity Price Forecasting Grids
    • Authors: C. Xiao, D. Sutanto, K.M. Muttaqi, K. Meng, Z.Y. Dong
    • Published In: IEEE Transactions on Industry Applications, 2021
    • Citations: 17

 

  1. Multi-period Data Driven Control Strategy for Real-time Management of Energy Storages in Virtual Power Plants Integrated with Power Grid
    • Authors: C. Xiao, D. Sutanto, K.M. Muttaqi, M. Zhang
    • Published In: International Journal of Electrical Power and Energy Systems, 2020
    • Citations: 12

 

  1. Hierarchical Data-Driven Optimization Scheme Compatible with the Conception of Solid-State Power Substation for Real-time VPP Management
    • Authors: C. Xiao, D. Jiang, B. Shu, M. He
    • Published In: 2023 IEEE International Conference on Energy Technologies for Future Grids, 2023
    • Citations: 0

 

  1. A Hybrid of Multidisciplinary Design and Multi-Objective Optimization for Solving Combined Heat and Power Environmental Economic Dispatch
    • Authors: C. Xiao, Z. Hu, Z. Piao, D. Jiang
    • Published In: 2023 IEEE IAS Global Conference on Emerging Technologies, 2023
    • Citations: 0

 

  1. Decision Making Based on Tradeoff Solving for Economic Emission Dispatch in Combined Heat and Power Environment
    • Authors: C. Xiao, D. Jiang, Z. Hu
    • Published In: IEEE International Conference on Systems, Man and Cybernetics, 2022
    • Citations: 0

 

  1. Minimizing Immune Costs in Social Networks Through Reinforcement Learning
    • Authors: H. Nie, P. Li, Y. Zhou, X. Wang, C. Xiao
    • Published In: Communications in Computer and Information Science, 2022
    • Citations: 0