Title :
Modeling uncertainties affecting power system dynamics
Author :
Nwankpa, C.O. ; Hassan, R.M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
Abstract :
The authors address the development of specific stochastic models that reflect inherent fluctuations of power system parameters and characteristics. These models vary from slow continuous models represented by narrowband colored noise to fast discrete models represented by Markov jump noises. The models cover certain fluctuations, such as those due to the effect of random customer switching and ambient weather conditions. An example of a discrete stochastic model is presented to reflect other switching events, such as those due to transformer tap changers
Keywords :
matrix algebra; modelling; power systems; random noise; stochastic processes; Markov jump noises; ambient weather conditions; fast discrete models; narrowband colored noise; power system dynamics; random customer switching; slow continuous models; stochastic models; transformer tap changers; Colored noise; Fluctuations; Gaussian noise; Power system dynamics; Power system modeling; Power system security; Power transmission lines; Stochastic processes; Stochastic systems; Uncertainty;
Conference_Titel :
Circuits and Systems, 1992., Proceedings of the 35th Midwest Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-0510-8
DOI :
10.1109/MWSCAS.1992.271025
