Identification of topology changes in power grids using phasor measurements

作者: Scott Vander Wiel , Russell Bent , Emily Casleton , Earl Lawrence

DOI: 10.1002/ASMB.2082

关键词: Marginal distributionElectric power transmissionTopologyJoint probability distributionMonte Carlo methodGridComputer sciencePhasorElectric powerProbability distribution

摘要: Phasor measurement units PMUs are increasingly important for monitoring the state of an electrical power grid and quickly detecting topology changes caused by events such as lines going down or large loads being dropped. Phasors complex?valued measurements voltage current at various points generation consumption. If a line goes load is removed, flows change throughout according to known physical laws, probability distribution phasor accordingly. This paper develops method estimate from considers design goal placing strategic in system achieve good sensitivity single?line outages. From vector measurements, probabilities computed corresponding scenario that all operational alternate scenarios which each individually. These functions joint distributions under possible scenario, obtained through Monte Carlo simulations with random profiles. We use log?spline densities marginal fold these into multivariate Gaussian copula capture correlations. Sensitivity outages varies where placed on grid. A greedy search algorithm demonstrated locations provide Published 2014. article U.S. Government work public domain USA.

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