Robust Ranking of Loads by Using Sensitivity Factors and Limited Number of Points from a Hyberspace of Uncertain Parameters

The problem of load ranking in power systems is revisited, and a new robust method for revealing loads having the biggest influence on power system small distucbance stability is described. The problem of large numbers of combinations of certain load parameters needed for trustworthy results of the analysis is solved by using uniformly distributed sequences in hyperspace of load parameters. This approach leads to robust results and requires a small computational time. The method further allows evaluation of the range of power system damping uncertainty and the obtaining of a maximum increment of system model accuracy using a limited number of field tests and such reducing overall costs associated with system field measurements.