A heuristic-dynamic-programming-based power system stabilizer for a turbogenerator in a single-machine power system

作者：Liu WX^*; Venayagamoorthy GK; Wunsch DC

来源：IEEE Transactions on Industry Applications, 2005, 41(5): 1377-1385.

DOI：10.1109/TIA.2005.853386

• adaptive critic design (ACD)
• discount factors
• heuristic dynamic programming (HDP)
• indirect adaptive control
• neural networks
• neuro-control
• neuro-identifier
• online training
• power system stabilizer (PSS)

Power system stabilizers (PSSs) are used to generate supplementary control signals for the excitation system in order to damp the low-frequency power system oscillations. To overcome the drawbacks of a conventional PSS (CPSS), numerous techniques have been proposed in the literature. Based on the analysis of existing techniques, a novel design based on heuristic dynamic programming (HDP) is presented in this paper. HDP, combining the concepts of dynamic programming and reinforcement learning, is used in the design of a nonlinear optimal power system stabilizer. Results show the effectiveness of this new technique. The performance of the HDP-based PSS is compared with the CPSS and the indirect-adaptive-neurocontrol-based PSS under small and large disturbances. In addition, the impact of different discount factors in the HDP PSS's performance is presented.

• 出版日期2005-10