Identifying Useful Statistical Indicators of Proximity to Instability in Stochastic Power Systems

  title={Identifying Useful Statistical Indicators of Proximity to Instability in Stochastic Power Systems},
  author={Goodarz Ghanavati and Paul D. H. Hines and Taras I. Lakoba},
  journal={IEEE Transactions on Power Systems},
Prior research has shown that autocorrelation and variance in voltage measurements tend to increase as power systems approach instability. This paper seeks to identify the conditions under which these statistical indicators provide reliable early warning of instability in power systems. First, the paper derives and validates a semi-analytical method for quickly calculating the expected variance and autocorrelation of all voltages and currents in an arbitrary power system model. Building on this… CONTINUE READING
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