5 Conclusion
In this paper, a new technique based on Hamilton theory has been further studied the
multi-machine power system interference suppression. Combining minimax theory
with Hamilton theory, it calculates the worst disturbance degree when dealing with the
interference. The method has solved the problem of the system parameter hypothesis
and reduces the conservatism. Simulation experiments show that the control strategy
has an effective interference suppression effect.
References
1. Wang YZ (2007) Generalized Hamilton control system theory. implementation, control and
application. Science Press 112, 556
2. Lu DI, Zhang XB (2011) Based on the Hamilton energy plastic multi-machine power system
excitation control. Power Syst Protec Control 45–50
3. Liu MX, Wang J (2007) Nonlinear control of multi-machine power system with structure
preserving models based on Hamiltonian system energy theory. Proc CSEE 28:34
4. Sun YZ, Cao M, Shen TL et al (2002) Decentralized passive control of turbo-generators
based on the generalized Hamiltonian system theory. Autom Electr Power Syst
5. Liu MX (2008) Multi-machine power system excitation and the generalized Hamilton realize
control method and application. Shanghai Jiao Tong University
6. Shi F, Wang J (2011) Pseudo generalized Hamiltonian theory and its application in multimachine power system nonlinear excitation control. Proc CSEE 67:74
7. Jiang N, Jing YW (2008) Based on t-s model not fragile minimax control of nonlinear
systems. Control Theory Appl 925–928
8. Jiang N, Liu T, Tie T et al (2012) The nonlinear generator excitation system interference
suppression controller design. In: Proceedings of the 31st chinese control conference
9. Jiang N, Liu B, Jing YW (2011) The design of nonlinear disturbance attenuation controller
for TCSC robust model of power system. Nonlinear Dyn 1863:1870
10. Liu T et al (2013) The TCSC system adaptive minimax interference suppression controller
design. Control Decis Mak 1894:1895
11. Sun YZ et al (2007) The nonlinear robust control in power systems. Tsinghua University
Press
12. Chang L et al (2015) Excitation controller design for nonlinear multi-machine power system
based on Hamilton theory. In: 27th chinese control and decision conference, pp 1362–1366
Design for Interference Suppression Intelligent Controller …
513
In this paper, a new technique based on Hamilton theory has been further studied the
multi-machine power system interference suppression. Combining minimax theory
with Hamilton theory, it calculates the worst disturbance degree when dealing with the
interference. The method has solved the problem of the system parameter hypothesis
and reduces the conservatism. Simulation experiments show that the control strategy
has an effective interference suppression effect.
References
1. Wang YZ (2007) Generalized Hamilton control system theory. implementation, control and
application. Science Press 112, 556
2. Lu DI, Zhang XB (2011) Based on the Hamilton energy plastic multi-machine power system
excitation control. Power Syst Protec Control 45–50
3. Liu MX, Wang J (2007) Nonlinear control of multi-machine power system with structure
preserving models based on Hamiltonian system energy theory. Proc CSEE 28:34
4. Sun YZ, Cao M, Shen TL et al (2002) Decentralized passive control of turbo-generators
based on the generalized Hamiltonian system theory. Autom Electr Power Syst
5. Liu MX (2008) Multi-machine power system excitation and the generalized Hamilton realize
control method and application. Shanghai Jiao Tong University
6. Shi F, Wang J (2011) Pseudo generalized Hamiltonian theory and its application in multimachine power system nonlinear excitation control. Proc CSEE 67:74
7. Jiang N, Jing YW (2008) Based on t-s model not fragile minimax control of nonlinear
systems. Control Theory Appl 925–928
8. Jiang N, Liu T, Tie T et al (2012) The nonlinear generator excitation system interference
suppression controller design. In: Proceedings of the 31st chinese control conference
9. Jiang N, Liu B, Jing YW (2011) The design of nonlinear disturbance attenuation controller
for TCSC robust model of power system. Nonlinear Dyn 1863:1870
10. Liu T et al (2013) The TCSC system adaptive minimax interference suppression controller
design. Control Decis Mak 1894:1895
11. Sun YZ et al (2007) The nonlinear robust control in power systems. Tsinghua University
Press
12. Chang L et al (2015) Excitation controller design for nonlinear multi-machine power system
based on Hamilton theory. In: 27th chinese control and decision conference, pp 1362–1366
Design for Interference Suppression Intelligent Controller …
513