D-Index & Metrics Best Publications

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
Electronics and Electrical Engineering D-index 38 Citations 7,302 135 World Ranking 3070 National Ranking 24

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Voltage
  • Electrical engineering

His main research concerns Control theory, Electronic engineering, Voltage, Electrical network and Electric power system. His research in the fields of Control reconfiguration and Control theory overlaps with other disciplines such as Radial distribution. His Electronic engineering research integrates issues from Distribution networks, AC power, Power control and Topology.

In the field of Voltage, his study on Voltage source overlaps with subjects such as Sizing. Within one scientific family, he focuses on topics pertaining to Mathematical optimization under Electrical network, and may sometimes address concerns connected to Electrical conductor. His Electric power system research incorporates elements of Time domain, Automatic frequency control and Energy storage.

His most cited work include:

  • Voltage stability analysis of radial distribution networks (386 citations)
  • A fuzzy multiobjective approach for network reconfiguration of distribution systems (385 citations)
  • Impact of Network Reconfiguration on Loss Allocation of Radial Distribution Systems (323 citations)

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

Debapriya Das mainly focuses on Control theory, Microgrid, Distributed generation, Voltage and AC power. The various areas that Debapriya Das examines in his Control theory study include Power factor and Electric power system, Automatic Generation Control. His Microgrid research includes themes of Voltage droop, Particle swarm optimization and Dispatchable generation.

His study focuses on the intersection of Distributed generation and fields such as Automotive engineering with connections in the field of Electric vehicle. His Voltage study also includes fields such as

  • Electronic engineering which is related to area like Electrical network,
  • Control reconfiguration which connect with Distribution networks and Network reconfiguration. His work carried out in the field of AC power brings together such families of science as Power injection, Battery and Node.

He most often published in these fields:

  • Control theory (48.46%)
  • Microgrid (26.92%)
  • Distributed generation (26.15%)

What were the highlights of his more recent work (between 2018-2021)?

  • Microgrid (26.92%)
  • Control theory (48.46%)
  • AC power (25.38%)

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

The scientist’s investigation covers issues in Microgrid, Control theory, AC power, Dispatchable generation and Distributed generation. Debapriya Das has included themes like Particle swarm optimization, Mathematical optimization and Voltage droop in his Microgrid study. His research in Mathematical optimization is mostly focused on Multi-objective optimization.

His Control theory study combines topics from a wide range of disciplines, such as Power factor, Voltage and Transient. The concepts of his Voltage study are interwoven with issues in Electric vehicle and Uncertainty analysis. His study in AC power is interdisciplinary in nature, drawing from both Power injection and Distribution networks.

Between 2018 and 2021, his most popular works were:

  • Grasshopper optimization algorithm based two stage fuzzy multiobjective approach for optimum sizing and placement of distributed generations, shunt capacitors and electric vehicle charging stations (27 citations)
  • Optimal power dispatch considering load and renewable generation uncertainties in an AC–DC hybrid microgrid (24 citations)
  • Multi-objective dynamic and static reconfiguration with optimized allocation of PV-DG and battery energy storage system (19 citations)

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

Simple and efficient method for load flow solution of radial distribution networks

D. Das;D.P. Kothari;A. Kalam.
International Journal of Electrical Power & Energy Systems (1995)

674 Citations

Voltage stability analysis of radial distribution networks

M Chakravorty;D Das.
International Journal of Electrical Power & Energy Systems (2001)

606 Citations

A fuzzy multiobjective approach for network reconfiguration of distribution systems

D. Das.
IEEE Transactions on Power Delivery (2006)

569 Citations

Impact of Network Reconfiguration on Loss Allocation of Radial Distribution Systems

J.S. Savier;D. Das.
IEEE Transactions on Power Delivery (2007)

518 Citations

Novel method for solving radial distribution networks

D. Das;H.S. Nagi;D.P. Kothari.
IEE Proceedings, Part C: Generation, Transmission and Distribution (Institution of Electrical Engineers); (United Kingdom) (1994)

490 Citations

Optimal placement of capacitors in radial distribution system using a Fuzzy-GA method

D. Das.
International Journal of Electrical Power & Energy Systems (2008)

387 Citations

Discrete-mode automatic generation control of a two-area reheat thermal system with new area control error

M. L. Kothari;J. Nanda;D. P. Kothari;D. Das.
IEEE Transactions on Power Systems (1989)

180 Citations

Reactive power compensation for radial distribution networks using genetic algorithm

D. Das.
International Journal of Electrical Power & Energy Systems (2002)

164 Citations

Battery energy storage for load frequency control of an interconnected power system

S.K Aditya;D Das.
Electric Power Systems Research (2001)

161 Citations

Reconfiguration of distribution system using fuzzy multi-objective approach

D. Das.
International Journal of Electrical Power & Energy Systems (2006)

161 Citations

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