Title :
An improved fault analysis algorithm for unbalanced multi-phase power distribution systems
Author :
Halpin, S.M. ; Grigsby, L.L. ; Gross, C.A. ; Nelms, R.M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Mississippi State Univ., MS, USA
fDate :
7/1/1994 12:00:00 AM
Abstract :
The results of an improved method for fault calculations in unbalanced multi-phase power distribution systems containing nonutility generators and large induction motor loads are presented in this paper. The method utilizes a combined time- and frequency-domain analysis approach to produce results that are superior to those obtained in “classical” fault analysis without the large increase in computer time with complete time-domain solutions. Sources and loads can be represented by either classical frequency-domain models or detailed differential equation models. The potentially unbalanced power distribution system is represented by an admittance matrix formed using a linear graph-based application of AC circuit theory. The time-domain differential equation source and load models are interfaced with the frequency-domain distribution system model using time series analyses to estimate equivalent voltage and current phasors from discrete data sets
Keywords :
differential equations; distribution networks; electric admittance; electrical faults; frequency-domain analysis; induction motors; matrix algebra; power system analysis computing; time-domain analysis; AC circuit theory; admittance matrix; differential equation models; equivalent current phasor estimation; equivalent voltage phasor estimation; fault analysis algorithm; fault calculations; frequency-domain analysis; induction motor loads; linear graph-based application; load models; nonutility generators; time-domain analysis; time-domain differential equation source; unbalanced multi-phase power distribution systems; Algorithm design and analysis; Circuit faults; Differential equations; Frequency domain analysis; Induction generators; Induction motors; Power distribution; Power generation; Power system modeling; Time domain analysis;
Journal_Title :
Power Delivery, IEEE Transactions on