Fuzzy logic control of dynamic quadrature booster using reinforcement learning
- Resource Type
- Conference
- Authors
- Li, B.H.; Wu, Q.H.; Wang, P.Y.; Zhou, X.X.
- Source
- POWERCON '98. 1998 International Conference on Power System Technology. Proceedings (Cat. No.98EX151) Power system technology Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on. 2:843-849 vol.2 1998
- Subject
- Power, Energy and Industry Applications
Components, Circuits, Devices and Systems
Fuzzy logic
Learning
Power system stability
Control systems
Power system dynamics
Power system control
Power system simulation
Power systems
Power system modeling
Optimal control
- Language
This paper is concerned with the investigation of a learning fuzzy logic control of dynamic quadrature booster (DQB) to enhance power system stability. A fuzzy logic control strategy is proposed for DQB control and a reinforcement learning technique is employed to optimise the parameters of the fuzzy logic controller according to a given performance index. The parameter optimisation is carried out on-line in real time. Simulation results show a satisfactory learning and control performance provided by this strategy.