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.
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
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.
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.
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)
Voltage stability analysis of radial distribution networks
M Chakravorty;D Das.
International Journal of Electrical Power & Energy Systems (2001)
A fuzzy multiobjective approach for network reconfiguration of distribution systems
D. Das.
IEEE Transactions on Power Delivery (2006)
Impact of Network Reconfiguration on Loss Allocation of Radial Distribution Systems
J.S. Savier;D. Das.
IEEE Transactions on Power Delivery (2007)
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)
Optimal placement of capacitors in radial distribution system using a Fuzzy-GA method
D. Das.
International Journal of Electrical Power & Energy Systems (2008)
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)
Reactive power compensation for radial distribution networks using genetic algorithm
D. Das.
International Journal of Electrical Power & Energy Systems (2002)
Battery energy storage for load frequency control of an interconnected power system
S.K Aditya;D Das.
Electric Power Systems Research (2001)
Reconfiguration of distribution system using fuzzy multi-objective approach
D. Das.
International Journal of Electrical Power & Energy Systems (2006)
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