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.
Chat about Author
Papers
Innovative smart grid control technologies
Ganesh K. Venayagamoorthy
- 24 Jul 2011
TL;DR: In this paper, the authors presented a panel of control technologies for smart electric power grid, which are dynamic, stochastic, computational and scalable, and which show promise for achieving the goals of a smart grid, including maximizing the penetration of renewable energy and providing maximum utilization of available energy storage.
8
Wide-Area Situational Awareness based Power System Stabilizer Tuning with Utility Scale PV Integration
Paranietharan Arunagirinathan,Yawei Wei,Ali Arzani,Ganesh K. Venayagamoorthy +3 more
- 01 Sep 2018
TL;DR: The IEEE 68 bus 16 generator benchmark New England–New York power system integrated with utility scale PV generation sources is studied and the effects of the variations of the PV power and system disturbances on the speed deviations of the generators are captured and used in the formulation of the cost function to be optimized.
8
Implementation of an Intelligent Reconfiguration Algorithm for an Electric Ship Power System
Pinaki Mitra,Ganesh K. Venayagamoorthy +1 more
- 10 Nov 2009
TL;DR: A fast, intelligent reconfiguration algorithm, where Pareto optimal solutions are obtained by Small Population based Particle Swarm Optimization (SPPSO) from two conflicting objective functions.
Echo State Networks for Determining Harmonic Contributions from Nonlinear Loads
J. Mazumdar,Ganesh K. Venayagamoorthy,R.G. Harley,Frank Lambert +3 more
- 30 Oct 2006
TL;DR: In this article, echo state networks (ESNs) are used to measure the actual amount of harmonic current injected into a power network by a nonlinear load in order to compute the desired output dynamics.
Particle Swarm Optimization: A Hardware Implementation.
Parviz Palangpour,Ganesh K. Venayagamoorthy,Scott C. Smith +2 more
- 01 Jan 2009
TL;DR: A pipelined architecture for hardware PSO implementation is presented and an execution speedup of several orders of magnitude is observed.