Studies of real-time adaptive optimal excitation controller and adaptive optimal power system stabilizer
- Huazhong Univ. of Science and Technology, Wuhan (China)
- Calgary Univ., AB (Canada)
Use of an adaptive optimal control algorithm for two realtime control applications, optimal excitation control of a synchronous generator (OEC) and power system stabilizer (PSS) is described in this paper. Experimental studies on a physical model of a power system show that the proposed OEC and PSS can track the controlled system by parameter identification at different operating conditions. The proposed control algorithm is based on the linear optimal control theory and a special 5th order discrete Riccati equation is solved in each sampling period. The proposed OEC and PSS can always guarantee that in closed loop the controlled system is stable based on the identified parameters. As the actual output of the controlled system and control are directly used in the controller, no observer is required. Also, the proposed OEC and PSS can track the controlled system very fast. A number of tests have been performed. All show satisfactory results.
- OSTI ID:
- 6989191
- Journal Information:
- IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers); (United States), Vol. 7:3; ISSN 0885-8969
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
INTERCONNECTED POWER SYSTEMS
COMPUTERIZED CONTROL SYSTEMS
STABILIZATION
ALGORITHMS
CONTROL EQUIPMENT
DESIGN
OPTIMIZATION
PLANNING
CONTROL SYSTEMS
EQUIPMENT
MATHEMATICAL LOGIC
ON-LINE CONTROL SYSTEMS
ON-LINE SYSTEMS
POWER SYSTEMS
240100* - Power Systems- (1990-)
990200 - Mathematics & Computers