DocumentCode
2369119
Title
Multivariable control design for damping interarea oscillations of bulk power systems using a modal reduction technique
Author
Tada, Yasuyuki ; Ohkubo, Hiroyuki ; Kurita, Atsushi
Author_Institution
Tokyo Electr. Power Co. Inc., Yokohama, Japan
fYear
1995
fDate
7-12 May 1995
Firstpage
175
Lastpage
182
Abstract
A new technique for power system multivariable control design in order to raise precision and facilitate design procedures is described. The multivariable control scheme for damping improvement of power swings is based on the optimal feedback control theory, and in the design process, eigenvalues of a 2n×2n matrix for an n-th dimension state equation must be calculated in order to solve the Riccati equation. Hence, in order to apply this method to a bulk power system, the matrix size must be reduced. By using the modal reduction technique which is proposed in this paper, the matrix size can be reduced by about 75%. The multivariable control scheme is applied to a 164-machine power system. The result shows that the proposed technique enables multivariable control design for a bulk power system with simple procedures
Keywords
Riccati equations; control system synthesis; eigenvalues and eigenfunctions; feedback; matrix algebra; multivariable control systems; optimal control; power system control; power system stability; Riccati equation; bulk power systems; eigenvalues; interarea oscillations; matrix; modal reduction technique; multivariable control design; optimal feedback control theory; state equation; Control design; Control systems; Damping; Eigenvalues and eigenfunctions; Feedback control; Optimal control; Power system control; Power systems; Process design; Riccati equations;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Industry Computer Application Conference, 1995. Conference Proceedings., 1995 IEEE
Conference_Location
Salt Lake City, UT
Print_ISBN
0-7803-2663-6
Type
conf
DOI
10.1109/PICA.1995.515181
Filename
515181
Link To Document