Title :
Identifying Power Models State Space Techniques
Author :
Bollinger, K.E. ; Mathur, J.C.
Author_Institution :
Power System Research Group University of Saskatchewan
Abstract :
This paper describes a numerical technique for identifying the pertinent transfer functions of multi-machine power systems. The method described herein will enable the system analyst to form a compact model of a complicated linearized multi-variable system with a minimum amount of manual algebra. The state space form of system representation is used to obtain the required transfer functions which in turn could be used to perform studies on any of the plant controllers. An example from the area of power system control is used to illustrate the efficiency of this particular technique.
Keywords :
Control system synthesis; Control systems; Differential equations; Input variables; Matrices; Power system analysis computing; Power system dynamics; Power system modeling; State-space methods; Transfer functions;
Journal_Title :
Power Apparatus and Systems, IEEE Transactions on
DOI :
10.1109/TPAS.1971.292911