Algorithm Based fault tolerant state estimation of power systems

Electric power industry deregulation has transformed state estimation from an important application into a critical one. State estimations in power systems involve very tedious computations since large systems can consist of thousands of buses and lines. In this paper, we apply algorithm based fault...

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Vydáno v:2004 International Conference on Probabilistic Methods Applied to Electric Power Systems : Ames, IA, 12-16 September, 2004 s. 174 - 179
Hlavní autoři: Mishra, A., Mili, L., Phadke, A.G.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 2004
Témata:
Electrical fault detection
Fault detection
Fault tolerant systems
Iterative algorithms
Least squares methods
Newton method
Power system faults
Power system transients
Recursive estimation
State estimation
ISBN:9780976131915, 0976131919
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Shrnutí:Electric power industry deregulation has transformed state estimation from an important application into a critical one. State estimations in power systems involve very tedious computations since large systems can consist of thousands of buses and lines. In this paper, we apply algorithm based fault tolerance techniques to the Gauss-Newton iterative algorithm that solves a weighted least-squares (WLS) state estimator of a power system. These techniques efficiently detect computational errors due to transient and permanent faults in the hardware. We show that the modified state estimation algorithm has low computational over-head and is free from false alarms
ISBN:9780976131915
0976131919