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Dr. Binu Krishnan U

Assistant Professor, School of Artificial Intelligence, Coimbatore

Qualification: Ph.D
u_binukrishnan@cb.amrita.edu
Orcid Profile
Research Interest:  Renewable energy system, Microgrid control, Power system stability

Bio

Dr. Binu Krishnan U is a dedicated educator and researcher with a passion for technology and innovation. He is currently an Assistant Professor in the Department of Artificial Intelligence at Amrita Vishwa Vidyapeetham, Coimbatore. His journey in education began with a BTech in Electrical and Electronics Engineering from Government Engineering College, Thrissur, followed by an MTech in Power Systems from the College of Engineering, Trivandrum. He later earned his Ph.D. from the National Institute of Technology, Calicut. The research during his Ph.D. focused on improving the stability of microgrids—small-scale power grids that can operate independently. His work involved developing models and control strategies to make these systems more reliable and efficient, which is crucial as the world moves towards renewable energy sources. His findings have been published in several respected international journals and presented at global conferences.

With a rich teaching background, he has worked at prestigious institutions like the National Institute of Technology, Calicut, and Global Academy of Technology, Bengaluru. His teaching and research interests lie in Electrical Engineering and Artificial Intelligence, and he is committed to helping students understand and apply these complex subjects in practical ways. In addition to his academic roles, he is skilled in using various technical tools and software, including MATLAB, Python, and AutoCAD, which are essential for engineering design and analysis. He has also completed advanced certification courses in power distribution systems and electric vehicle technologies, showcasing his commitment to continuous learning.

 

Experience(s)/Qualification(s):

PhD (2021)
Specialization: Electrical Engineering (Microgrid Control)
Thesis title:  Design, optimization, and analysis of stability improvement schemes for droop-controlled microgrid

M.Tech (2012)
Specialization: Power Systems
Thesis title: Application of Photovoltaic solar farm as STATCOM in a solar-wind hybrid system with maximum power point tracking

 

Publications

Journal Article

Year : 2022

Improved small signal stability of microgrid – a droop control scheme with SMC

Cite this Research Publication : Binu Krishnan U, Mija S J, Elizabeth P Cheriyan, "Improved small signal stability of microgrid - a droop control scheme with SMC," Electrical Engineering, Springer, 104, 2569-2587 (2022).

Publisher : SpringerLink

Year : 2022

Nonlinear analysis and estimation of the domain of attraction for a droop controlled microgrid system

Cite this Research Publication : Binu Krishnan U, Mija S J, Elizabeth P Cheriyan, "Nonlinear analysis and estimation of the domain of attraction for a droop controlled microgrid system," Electric Power Systems Research, 204, 107712 (2022)

Publisher : Elsevier

Year : 2020

Small signal stability improvement of a microgrid by the optimized dynamic droop control method

Cite this Research Publication : Binu Krishnan U, Mija S J, Elizabeth P Cheriyan, "Small signal stability improvement of a microgrid by the optimized dynamic droop control method," IET Renewable Power Generation, vol. 14, no. 5, pp. 822-833, Apr. 2020.

Conference Paper

Year : 2019

Small signal stability analysis of droop controlled microgrid with state feedback controller

Cite this Research Publication : B. Krishnan U., S. J. Mija and E. P. Cheriyan, "Small signal stability analysis of droop controlled microgrid with state feedback controller," 2019 9th International Conference on Power and Energy Systems (ICPES), Perth, WA, Australia, 2019, pp. 1-6, doi: 10.1109/ICPES47639.2019.9105582.

Publisher : IEEE

Year : 2017

State space modelling, analysis and optimization of microgrid droop controller

Cite this Research Publication : U. B. Krishnan, S. J. Mija and E. P. Cheriyan, "State space modelling, analysis and optimization of microgrid droop controller," 2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA), Roorkee, India, 2017, pp. 276-281, doi: 10.1109/CERA.2017.8343340.

Publisher : IEEE

Year : 2017

Microgrid Stability Improvement by Optimization of Virtual Droop Control

Cite this Research Publication : Binu Krishnan U, Mija S J, Elizabeth P Cheriyan, "Microgrid stability improvement by optimization of virtual droop control," Future Technologies Conference (FTC) 2017, November 29-30, 2017, Vancouver, BC, Canada.

Year : 2012

Maximum Power Point Tracking of Grid Connected Solar Wind Hybrid System

Cite this Research Publication : Binu Krishnan U, A Bisharath Beevi, "Maximum power point tracking of grid connected solar wind hybrid system," 13th National Conference on Technological Trends (NCTT) 2012, College of Engineering, Trivandrum.

Book Chapter

Year : 2022

SMC Augmented Droop Control Scheme for Improved Small Signal Stability of Inverter Dominated Microgrid

Cite this Research Publication : Binu Krishnan U, Mija S J, "SMC augmented droop control scheme for improved small signal stability of inverter dominated microgrid," Green Technology for Future Applications (volume-II of the book 'Renewable Energy for Sustainable Growth Assessment'), Scrivener Publishing, Wiley.

Positions  

Current Positions 

Assistant Professor, Department of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore, 2024

Past Positions 

  • GLOBAL ACADEMY OF TECHNOLOGY, BENGALURU

Assistant professor |Aug 2023-Jul 2024

  • National institute of technology, Calicut 

Adhoc Faculty |Feb 2022- Aug 2022

  • NSS College of engineering, Palakkad 

Adhoc Faculty |Nov 2021- Feb 2022

  • Aryanet Institute of technology, PALAKKAD 

Assistant professor |Jul 2015-Dec 2015

  • National institute of technology, Calicut 

Adhoc Faculty |Jan 2015-Jun 2015

  • Aryanet Institute of technology, PALAKKAD 

Assistant professor |Aug 2012-Nov 2014

Teaching 

Courses taught 

  • 2024- Basic Electrical, UG
  • 2023- Basic Electrical, Industrial Drives, UG
  • 2022- Control Systems, UG
  • 2021-Applied Mathematics, PG
  • 2015-Electrical machines, Power Systems, Power Quality, UG
  • 2014- Electric Machines, Electrical Material Science, UG
  • 2013- Electric Circuit Theory, Basic Electrical, UG
  • 2012- Basic Electrical, UG
Workshops/Short-term training programs

GIAN/Workshops/Short-term training programs attended

  • FDP on EV vehicle dynamics and Electric motor drives, 2024
  • FDP on Operation and Planning of Power Distribution Systems, 2024
  • FDP on process control, instrumentation and operation, 2019
  • FDP on Large scale renewable energy integration: A perspective on power system stability, 2019
  • FDP on Real time monitoring, protection and control of power system, 2018
  • FDP on Advanced Condition monitoring methods for power equipment , 2018
  • FDP on School on Systems and control,2018
  • Workshop on OPAL RT real time simulator and Hardware in loop controller, 2017
  • Workshop on MATLAB and its application, 2017
  • Visvesvaraya PhD scheme for Electronics and IT third workshop for presentation of research work, 2017
  • FDP on Recent Advances on Computational methods for active vibration control and model update, 2017
  • FDP on Application of power converters in Distributed Generation and Microgrid, 2016
  • FDP on School on Systems and Control, 2016
Membership/Associations

Associate member of the Institution of Engineers (India), Membership No: AM147620-6. Student member of IEEE Power and Energy Society (PES), Membership No: 94236311.

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