Robust adaptive transient damping in power systems. Volume 1, System identification and decentralized adaptive control with applications to power systems: Final report

Technical Report · Tue Sep 01 00:00:00 EDT 1992

OSTI ID:10191757

Pierre, D A; Sadighi, I; Trudnowski, D J; Smith, J R; Nehrir, M H ^[1]

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1. Montana State Univ., Bozeman, MT (United States). Dept. of Electrical Engineering

This Volume 1 of the final report on RP2665-1 contains two parts. part 1 consists of the following: (1) a literature review of real-time parameter identification algorithms which may be used in self-tuning adaptive control; (2) a description of mathematical discrete-time models that are linear in the parameters and that are useful for self-tuning adaptive control; (3) detailed descriptions of several variations of recursive-least-squares algorithms (RLS algorithms) and a unified representation of some of these algorithms; (4) a new variation of RLS called Corrector Least Squares (CLS); (5) a set of practical issues that need to be addressed in the implementation of RLS-based algorithms; (6) a set of simulation examples that illustrate properties of the identification methods; and (7) appendices With FORTRAN listings of several identification codes. Part 2 of this volume addresses the problem of damping electromechanical oscillations in power systems using advanced control theory. Two control strategies are developed. Controllers are then applied to a power system as power system stabilizer (PSS) units. The primary strategy is a decentralized indirect adaptive control scheme where multiple self-tuning adaptive controllers are coordinated. This adaptive scheme is presented in a general format and the stabilizing properties are demonstrated using examples. Both the adaptive and the conventional strategies are applied to a 17-machine computer-simulated power system. PSS units are applied to four generators in the system. Detailed simulation results are presented that show the feasibility and properties of both control schemes. FORTRAN codes for the control simulations are given in appendices of Part 2, as also are FORTRAN codes for the Prony identification method.

• Research Organization: Electric Power Research Inst., Palo Alto, CA (United States); Montana State Univ., Bozeman, MT (United States). Dept. of Electrical Engineering
• Sponsoring Organization: Electric Power Research Inst., Palo Alto, CA (United States)
• OSTI ID: 10191757
• Report Number(s): EPRI-TR--101097-Vol.1; ON: UN93002385
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
240100
99 GENERAL AND MISCELLANEOUS
990200
ALGORITHMS
C CODES
COMPUTER PROGRAM DOCUMENTATION
COMPUTERIZED SIMULATION
CONTROL
DAMPING
DYNAMICS
ELECTRICAL TRANSIENTS
FORTRAN
LEAST SQUARE FIT
LOAD MANAGEMENT
MATHEMATICS AND COMPUTERS
OPERATION
OSCILLATIONS
PLANNING
POWER SYSTEMS
R CODES
STABILITY