Title :
The inherent structure theory of networks and admittance matrix sparsity relationship
Abstract :
This work presents an analysis of the inherent structure theory of networks (ISTN) as a tool to detect the sensibility of a power system for some power quality problems, such as optimum placement of harmonic filters or capacitor banks. The main contribution is in the introduction of the sparsity factor of the corresponding power system admittance matrix. Some numerical examples are presented to shows the importance of this factor in the precision of the ISTN methodology.
Keywords :
electric admittance; network topology; numerical analysis; power capacitors; power harmonic filters; power supply quality; sparse matrices; ISTN; admittance matrix sparsity; capacitor banks; harmonic filters; inherent structure theory of networks; optimum allocation; power quality problems; power system sensibility; sparsity factor; Admittance; Capacitors; Eigenvalues and eigenfunctions; Equations; Frequency; Harmonic filters; Power harmonic filters; Power system analysis computing; Power system harmonics; Sparse matrices;
Conference_Titel :
Harmonics and Quality of Power, 2002. 10th International Conference on
Print_ISBN :
0-7803-7671-4
DOI :
10.1109/ICHQP.2002.1221420