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
Adaptive-critic-based optimal neurocontrol for synchronous generators in a power system using MLP/RBF neural networks
Jung-Wook Park,R.G. Harley,Ganesh K. Venayagamoorthy +2 more
- 10 Dec 2002
TL;DR: In this article, a novel optimal neurocontroller that replaces the conventional controller (CONVC), which consists of the automatic voltage regulator and turbine governor, to control a synchronous generator in a power system using a multilayer perceptron neural network and a radial basis function neural network (RBFN).
Human swarm interaction for radiation source search and localization
Shishir Bashyal,Ganesh K. Venayagamoorthy +1 more
- 07 Nov 2008
TL;DR: In this paper, a swarm simulation environment is created that allows simulating a swarm behavior in an indoor environment and the results of user interaction are studied by considering radiation source search and localization application of the swarm.
Design of an adaptive neural network based power system stabilizer
Wenxin Liu,Ganesh K. Venayagamoorthy,Donald C. Wunsch +2 more
- 01 Jun 2003
TL;DR: An indirect adaptive neural network based power system stabilizer (IDNC) design that consists of a neuro-controller, which is used to generate a supplementary control signal to the excitation system, and a Neuro-identifier, used to model the dynamics of the power system and to adapt the neuro- controller parameters.
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A heuristic dynamic programming based power system stabilizer for a turbogenerator in a single machine power system
Wenxin Liu,Ganesh K. Venayagamoorthy,Donald C. Wunsch +2 more
- 12 Oct 2003
TL;DR: In this paper, a power system stabilizer (PSS) based on heuristic dynamic programming (HDP) is proposed to generate supplementary control signals for the excitation system in order to damp the low frequency power system oscillations.
SmartPark as a Virtual STATCOM
TL;DR: The potential of a low-cost solution that utilizes the reactive power and voltage support capabilities of plug-in vehicles parked in charging stations (SmartParks) so that they can behave as virtual STATCOMs is explored.
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