P
P.K. Dash
Researcher at University of Calgary
Publications - 5
Citations - 77
P.K. Dash is an academic researcher from University of Calgary. The author has contributed to research in topics: Adaptive control & Fault detection and isolation. The author has an hindex of 3, co-authored 5 publications receiving 77 citations.
Papers
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Journal ArticleDOI
Fast generator protection against internal asymmetrical faults
P.K. Dash,O.P. Malik,G.S. Hope +2 more
TL;DR: In this paper, an on-line digital computer technique for the protection of a generator against internal asymmetrical faults is described, which relies on the detection of a second harmonic component in the field current at the onset of a fault in the armature winding.
Journal ArticleDOI
Digital differential protection of a generating unit scheme and real-time test results
G.S. Hope,P.K. Dash,O.P. Malik +2 more
TL;DR: In this article, an on-line digital computer technique is used for differential protection of a synchronous generator, which provides fault detection and tripping well within half a cycle and is also capable of discriminating between internal and external faults.
Journal ArticleDOI
Transient stability and optimal control of parallel A.C.-D.C. power systems
TL;DR: In this article, the authors examined both the conventionaI and optimal control of the link for large disturbance performance of a parallel ac-dc power system and digital simulation results show interesting features of optimal control.
Journal ArticleDOI
Differential and Impedance Protection Using Digital Computers
G.S. Hope,Om P. Malik,P.K. Dash +2 more
TL;DR: The algorithm is based on a direct correlation between a pair of signals suitably selected for a particular application and offers low computational effort and is thus suitable for implementation using microprocessors.
Control of parallel a.c. - d.c. power systems
TL;DR: In this article, the authors examined both the conventional and optimal control of the link for large disturbance performance of a parallel a c - d c power system and digital simulation results show interesting features of optimal control.