Ganesh K. Venayagamoorthy
Clemson University
449 Papers
4.3K Citations
Ganesh K. Venayagamoorthy is an academic researcher from Clemson University. The author has contributed to research in topics: Electric power system & Particle swarm optimization. The author has an hindex of 56, co-authored 435 publications. Previous affiliations of Ganesh K. Venayagamoorthy include University of KwaZulu-Natal & ML Sultan Technikon.
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Papers
Identification of SVC dynamics using wide area signals in a power system
S.R. Jetti,Ganesh K. Venayagamoorthy +1 more
- 16 Oct 2006
TL;DR: In this article, a wide area monitor (WAM) using remote area signals, such as speed deviations of generators in a power network, for identifying online the dynamics of a static var compensator (SVC).
GMS considering uncertainty in wind power in a wind-hydrothermal power system
Yusuf Yare,Ganesh K. Venayagamoorthy +1 more
- 25 Jul 2010
TL;DR: An optimal preventive generator maintenance scheduling (GMS) in a smart grid environment comprising wind-hydrothermal energy resources is presented in this paper, where the objective is to perform preventive GMS in such a manner that the annual generation cost is minimized, the annual cost saving is increased while all operating constraints are satisfied in the presence of uncertainty in wind generation.
Convergence of the fast state estimation for power systems
Ashfaqur Rahman,Ashfaqur Rahman,Ganesh K. Venayagamoorthy,Ganesh K. Venayagamoorthy +3 more
- 01 Sep 2017
TL;DR: To increase the reliability of the processes, a multi-Jacobian method is proposed and it is shown that the methods fail under high variations of the states.
NSF CAREER: Scalable learning and adaptation with intelligent techniques and neural networks for reconfiguration and survivability of complex systems
Ganesh K. Venayagamoorthy
- 20 Jul 2008
TL;DR: In this paper, the authors describe the research and education experiences gained by the principal investigator and his research collaborators and students as a result of a NSF CAREER proposal been awarded by the power, control and adaptive networks (PCAN) program of the electrical, communications and cyber systems division.
Online Steady-State Security Awareness Using Cellular Computation Networks and Fuzzy Techniques
TL;DR: In this article, a novel cellular computation network (CCN) and hierarchical cellular rule-based fuzzy system (HCRFS) based online situation awareness method regarding steady-state security was proposed.
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