The application of dynamic programming in a discrete supplementary control for transient stability enhancement of multimachine power systems

Journal Article · Sun Sep 01 00:00:00 EDT 1985 · IEEE Trans. Power Appar. Syst.; (United States)

DOI:https://doi.org/10.1109/TPAS.1985.318956· OSTI ID:6348256

Lubkeman, D L; Heydt, G T

This paper considers the use of a discrete supplementary control for transient stability enhancement of multimachine power systems. The principal advantage of the method presented in this paper is that off-line computations are used. This permits the application of the supplementary control of a ''multimachine'' power system. The designation ''multimachine'' is used in this context to denote systems of up to three machines; for practical systems containing more than three machines, appropriate model order reduction is suggested. Supplementary controls differ from primary controls in that they are only used during disturbances rather than continuously. Attention is focused on the insertion of braking resistors and a specially designed dynamic programming algorithm is described for optimal resistor switching. The switching strategy is computed off-line so that the on-line computational requirements are minimal. The contribution of this paper is in the area of multimachine control and, in particular, a power system emergency state control. Topics concerning control models, optimization criteria and characteristics of discrete supplementary controls have been addressed. Control strategies are evaluated through digital and analog simulation involving a ten machine test system.

• Research Organization: Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, North Carolina
• OSTI ID: 6348256
• Journal Information: IEEE Trans. Power Appar. Syst.; (United States), Journal Name: IEEE Trans. Power Appar. Syst.; (United States) Vol. PAS-104:9; ISSN IEPSA
• Country of Publication: United States
• Language: English

Related Subjects

29 ENERGY PLANNING, POLICY, AND ECONOMY
296000* -- Energy Planning & Policy-- Electric Power
ALGORITHMS
CONTROL SYSTEMS
DYNAMIC PROGRAMMING
ELECTRICAL EQUIPMENT
ELECTRICAL TRANSIENTS
ENERGY SYSTEMS
EQUIPMENT
LOAD MANAGEMENT
MANAGEMENT
MATHEMATICAL LOGIC
MATHEMATICAL MODELS
ON-LINE CONTROL SYSTEMS
ON-LINE SYSTEMS
POWER SYSTEMS
PROGRAMMING
RESISTORS
STABILITY
TRANSIENTS
VOLTAGE DROP