Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Decentralised control of multimachine power systems with guaranteed performance

Decentralised control of multimachine power systems with guaranteed performance

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IEE Proceedings - Control Theory and Applications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

The paper focuses on a robust decentralised excitation control of multimachine power systems. The authors are concerned with the design of a decentralised state feedback controller for the power system to enhance its transient stability and ensure a guaranteed level of performance when there exist variations of generator parameters due to changing load and/or network topology. It is shown that the power system can be modelled as a class of interconnected systems with uncertain parameters and interconnections. The authors develop a guaranteed cost control technique for the interconnected system using a linear matrix inequality (LMI) approach. A procedure is given for the minimisation of the cost by employing the powerful LMI tool. The proposed controller design is simulated for a three-machine power system example. Simulation results show that the decentralised guaranteed cost control greatly enhances the transient stability of the power system in the face of various operating points, faults in different locations or changing network parameters.

References

    1. 1)
      • L. XIE , Y.C. SOH . Guaranteed cost control of uncertain discrete-time systems. Control Theory Adv. Technol. (Japan) , 4 , 1235 - 1251
    2. 2)
      • M. IKEDA , D.D. SILJAK . Optimality and robustness of linear quadratic control for nonlinear systems. Automatica , 3 , 499 - 511
    3. 3)
      • P. KUNDUR . (1994) , Power system stability and control.
    4. 4)
      • A.R. BERGEN . (1986) , Power systems analysis.
    5. 5)
      • W.J. CHAPMAN , M.D. ILIC , C.A. KING , L. ENG , H. KAUFMAN . Stabilizing a multimachine power system via decentralized feedback linearizing excitation control. IEEE Trans. Power Syst. , 830 - 839
    6. 6)
      • P. GAHINET , A. NEMIROVSKI , A.J. LAUB , M. CHILALI . (1995) , LMI control toolbox – for use with Matlab.
    7. 7)
      • Y. Wang , G. Guo , D.J. Hill . Robust decentralized nonlinear controller design for multimachine power systems. Automatica , 9 , 1725 - 1733
    8. 8)
      • C.A. KING , J.W. CHAPMAN , M.D. ILIC . Feedback linearizing excitation control on full-scale power system model. IEEE Trans. Power Syst. , 1102 - 1109
    9. 9)
      • I.R. PETERSEN , D.C. MCFARLANE . Optimal guaranteed cost control and filtering for uncertain systems. IEEE Trans. Autom. Control , 1971 - 1977
    10. 10)
      • I.R. PETERSEN , D.C. MCFARLANE , M.A. ROTEA . Optimal guaranteed cost control of discrete-time uncertain linear systems. Int. J. Robust Nonlinear Control , 649 - 657
    11. 11)
      • D.D. SILJAK . (1991) , Decentralized control of complex systems.
    12. 12)
      • Q. LU , Y. SUN , Z. XU , T. MOCHIZUKI . Decentralized nonlinear optimal excitation control. ibid. , 1957 - 1962
    13. 13)
      • WANG, Y., XIE, L., HILL, D.J., MIDDLETON, R.H.: `Robust nonlinear controller design for transient stability enhancement of power systems', Proceedings of the 31st IEEE Conference on Decision and Control, 1992, Tuscon, Arizona, USA, p. 1117–1122.
    14. 14)
      • L. GAO , L. CHEN , Y. FAN , H. MA . DFL-nonlinear control design with applications in power systems. Automatica , 975 - 979
    15. 15)
      • S. BOYD , L.E. GHAOUI , E. FERON , V. BALAKRISHNAN . (1994) , Linear matrix inequalities in systems and control theory.
http://iet.metastore.ingenta.com/content/journals/10.1049/ip-cta_20000194
Loading

Related content

content/journals/10.1049/ip-cta_20000194
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address