Adaptive critic design based neuro-fuzzy controller for a static compensator in a multimachine power system

作者：Mohagheghi Salman^*; Venayagamoorthy Ganesh Kumar; Harley Ronald G

来源：IEEE Transactions on Power Systems, 2006, 21(4): 1744-1754.

DOI：10.1109/TPWRS.2006.882467

• adaptive Critic designs
• multimachine power system
• neuro-fuzzy systems
• optimal control
• static compensator

This paper presents a novel nonlinear optimal controller for a static compensator (STATCOM) connected to a power system, using artificial neural networks and fuzzy logic. The action dependent heuristic dynamic programming, a member of the adaptive Critic designs family, is used for the design of the STATCOM neuro-fuzzy controller. This neuro-fuzzy controller provides optimal control based on reinforcement learning and approximate. dynamic programming. Using a proportional-integrator approach the proposed controller is capable of dealing with actual rather than deviation signals. The STATCOM is connected to a multimachine power system. Two multimachine systems are considered in this study: a 10-bus system and a 45-bus network (a section of the Brazilian power system). Simulation results are provided to show that the proposed controller outperforms a conventional PI controller in large scale faults as well as small disturbances.

• 出版日期2006-11