R
R. Ramanujam
Researcher at Anna University
Publications - 26
Citations - 192
R. Ramanujam is an academic researcher from Anna University. The author has contributed to research in topics: Electric power system & Z-source inverter. The author has an hindex of 8, co-authored 25 publications receiving 179 citations. Previous affiliations of R. Ramanujam include SRM University.
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Journal ArticleDOI
Effect of iron core loss nonlinearity on chaotic ferroresonance in power transformers
TL;DR: In this article, the effect of iron core loss nonlinearity on the onset of chaotic ferroresonance and duration of transient chaos in a power transformer was investigated, and three effects were clear: (i) onset of chaos at larger values of open phase voltage, (ii) shorter duration, and (iii) less susceptibility to'jump'phenomena.
Journal ArticleDOI
Analysis of nonlinear phenomena in MOV connected transformer
TL;DR: In this article, the effect of metal oxide arrester on the ferroresonance behavior of a transformer connected in parallel was examined by proper modelling of the nonlinear characteristics such as arresters and transformer saturation.
Journal ArticleDOI
A new and fast technique for voltage stability analysis of a grid network using system voltage space
TL;DR: In this article, a technique based on equilibrium analysis of rigid bodies is developed to determine the centroid voltage of the system voltage space and centroid voltages of the generator voltage space.
Proceedings ArticleDOI
Modeling of SVC and TCSC for power system dynamic simulation
TL;DR: Model and interfacing techniques of static VAr compensator and thyristor controlled series capacitor for real time long term simulation are presented and are shown to be effective both for maintaining the voltage at load bus and real power flow through a typically selected line.
Journal ArticleDOI
HP Enterprise Services Uses Optimization for Resource Planning
Cipriano A. Santos,Tere Gonzalez,Haitao Li,Kay-Yut Chen,Dirk Beyer,Sundaresh Biligi,Qi Feng,Ravindra Kumar,Shelen Jain,R. Ramanujam,Alex Zhang +10 more
TL;DR: A decision support tool for resource planning RP to enhance the SOAR process that optimizes matching professionals who have diverse delivery roles and skills to jobs and projects across geographical locations while explicitly accounting for both demand and supply uncertainties.