Model selection and data assembly for power system simulations

While the theory of rotating machine modeling has been fully developed for many years, the use of overly simplified models that were adopted originally because of computational limitations persists In many programs and data bases, even though the computational limitations no longer exist. Lack of refined equipment data and concern over the applicability of typical parameter values where specific values are unavailable have been significant factors inhibiting the use of comprehensive rotating machine modeling. This paper discusses some aspects of system dynamic performance whose proper simulation requires comprehensive machine modeling and illustrates the sensitivity of simulation results to the values of some of the parameters for which specific values are often unavailable. It argues that the use of properly chosen comprehensive generator and motor models gives superior results to those obtained with simplified models even when exact parameter values are unavailable and assumed parameter values must be used.