D-Index & Metrics Best Publications
Vigna K. Ramachandaramurthy

Vigna K. Ramachandaramurthy

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 38 Citations 6,373 223 World Ranking 4173 National Ranking 38

Overview

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Voltage
  • Artificial intelligence

His primary areas of study are Voltage, Renewable energy, Control theory, Control engineering and Power rating. His Voltage research is included under the broader classification of Electrical engineering. His Renewable energy study combines topics in areas such as Reliability engineering, Grid-connected photovoltaic power system, Smart grid and Automotive engineering.

His research in Control theory focuses on subjects like Electronic engineering, which are connected to Phase-locked loop, Power-system protection and Electrical impedance. His biological study spans a wide range of topics, including Control, Photovoltaic system and Systems engineering. His Power rating research includes elements of Battery and Loop.

His most cited work include:

  • A review on the state-of-the-art technologies of electric vehicle, its impacts and prospects (327 citations)
  • Integration of electric vehicles in smart grid: A review on vehicle to grid technologies and optimization techniques (293 citations)
  • A review of key power system stability challenges for large-scale PV integration (193 citations)

What are the main themes of his work throughout his whole career to date?

Voltage, Photovoltaic system, Electronic engineering, Control theory and Electrical engineering are his primary areas of study. His study in Electrical impedance extends to Voltage with its themes. His Photovoltaic system research is multidisciplinary, incorporating perspectives in Maximum power point tracking, Inverter, Automotive engineering and Renewable energy.

His Automotive engineering study incorporates themes from Battery, Electric vehicle, Vehicle-to-grid and Power factor. His Vehicle-to-grid research integrates issues from Battery charger and Smart grid. Vigna K. Ramachandaramurthy works mostly in the field of Renewable energy, limiting it down to concerns involving Electric power system and, occasionally, Reliability engineering.

He most often published in these fields:

  • Voltage (30.48%)
  • Photovoltaic system (28.10%)
  • Electronic engineering (22.86%)

What were the highlights of his more recent work (between 2019-2021)?

  • Photovoltaic system (28.10%)
  • Renewable energy (16.19%)
  • Electric power system (15.24%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Photovoltaic system, Renewable energy, Electric power system, Energy storage and Reliability engineering. His Photovoltaic system research is multidisciplinary, relying on both Diode, Electronic engineering, Control reconfiguration and Voltage. His Renewable energy research incorporates themes from Algorithm and Automotive engineering.

Vigna K. Ramachandaramurthy combines subjects such as Power factor, Static VAR compensator, Powertrain and Vehicle-to-grid with his study of Automotive engineering. Vigna K. Ramachandaramurthy interconnects Control engineering, Particle swarm optimization, Reduction and Systems engineering in the investigation of issues within Electric power system. His study in Energy storage is interdisciplinary in nature, drawing from both Control, Microgrid, Control theory and Industrial organization.

Between 2019 and 2021, his most popular works were:

  • A review of strategic charging–discharging control of grid-connected electric vehicles (36 citations)
  • Fractional chaotic ensemble particle swarm optimizer for identifying the single, double, and three diode photovoltaic models’ parameters (26 citations)
  • Application and assessment of internet of things toward the sustainability of energy systems: Challenges and issues (21 citations)

In his most recent research, the most cited papers focused on:

  • Electrical engineering
  • Voltage
  • Artificial intelligence

Vigna K. Ramachandaramurthy mainly investigates Electric power system, Microgrid, Photovoltaic system, Control theory and Algorithm. His Microgrid research focuses on Energy storage and how it relates to Electricity generation and Maximum power point tracking. The Photovoltaic system study combines topics in areas such as Diode, Reliability engineering and Voltage.

Vigna K. Ramachandaramurthy usually deals with Control theory and limits it to topics linked to Transformer and Control theory. Vigna K. Ramachandaramurthy undertakes multidisciplinary studies into Reliability and Renewable energy in his work. His studies in Renewable energy integrate themes in fields like Control and Risk analysis.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A review on the state-of-the-art technologies of electric vehicle, its impacts and prospects

Jia Ying Yong;Vigna Kumaran Ramachandaramurthy;Kang Miao Tan;N. Mithulananthan.
Renewable & Sustainable Energy Reviews (2015)

700 Citations

Integration of electric vehicles in smart grid: A review on vehicle to grid technologies and optimization techniques

Kang Miao Tan;Vigna Kumaran Ramachandaramurthy;Jia Ying Yong.
Renewable & Sustainable Energy Reviews (2016)

574 Citations

A review of key power system stability challenges for large-scale PV integration

Rakibuzzaman Shah;N. Mithulananthan;R.C. Bansal;V.K. Ramachandaramurthy.
Renewable & Sustainable Energy Reviews (2015)

391 Citations

Dynamic voltage restorer based on voltage-space-vector PWM control

Changjiang Zhan;V.K. Ramachandaramurthy;A. Arulampalam;C. Fitzer.
IEEE Transactions on Industry Applications (2001)

305 Citations

A review of the optimal allocation of distributed generation: Objectives, constraints, methods, and algorithms

Mahmoud Pesaran H.A;Mahmoud Pesaran H.A;Phung Dang Huy;Vigna Kumaran Ramachandaramurthy.
Renewable & Sustainable Energy Reviews (2017)

275 Citations

Software phase-locked loop applied to dynamic voltage restorer (DVR)

Changjiang Zhan;C. Fitzer;V.K. Ramachandaramurthy;A. Arulampalam.
2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194) (2001)

198 Citations

Control strategies for a hybrid renewable energy system: A review

P. G. Arul;Vigna Kumaran Ramachandaramurthy;R. K. Rajkumar.
Renewable & Sustainable Energy Reviews (2015)

181 Citations

Techno-economical optimization of hybrid pv/wind/battery system using Neuro-Fuzzy

R. K. Rajkumar;Vigna Kumaran Ramachandaramurthy;B. L. Yong;D. B. Chia.
Energy (2011)

171 Citations

Review on the optimal placement, sizing and control of an energy storage system in the distribution network

Ling Ai Wong;Vigna Kumaran Ramachandaramurthy;Phil Taylor;Phil Taylor;J. B. Ekanayake.
Journal of energy storage (2019)

168 Citations

Control of a Battery Supported Dynamic Voltage Restorer

V.K. Ramachandaramurthy;C. Fitzer;A. Arulampalam;C. Zhan.
IEE Proceedings - Generation, Transmission and Distribution (2002)

149 Citations

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