http://iet.metastore.ingenta.com
1887

Controller design with model identification approach in wide area power system

Controller design with model identification approach in wide area power system

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

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(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:
 
 
 
 
 
IET Generation, Transmission & Distribution — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Using wide area monitoring systems (WAMS) offers a possibility for an integrated measurement-based and model-based control, which suits to the operation of large electric power system (EPS), along with online analysis. This study presents studies on fixed-order controller design through model identification approach with use of synchronous measurement data. Firstly, in the study, the coherent generator in each area of large EPS is determined by the mutual information theory. Then, state-space two-input two-output model is identified for the generator that has highest participation factor and thus referred as coherent generator. The model identification algorithms; least-square, instrumental variable and subspace state-space based generalised Poisson moment function are used. Next, WAMS level model is identified between the input controllable variable and speed deviation difference of coherent generator of each area. Finally, a local controller (decentralised) in each coherent area and a centralised controller at WAMS level between two coherent areas are designed by optimisation of the several design functions; H norm, H 2 norm, spectral abscissa and complex stability radius, as much as possible. These controllers feed supplementary control signal in addition to one fed by local conventionally tuned power system stabiliser. The centralised controller at WAMS level is demonstrated to stabilise the speed deviations of each generator between any two areas in the large EPS. The study is investigated with different input signal variables; ΔV ref, ΔPm excited by different pattern of disturbances.

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
      • 7. Okamoto, H., Kurita, A., Sanches-Gasca, J.J., Clark, K., Miller, N.W., Chowdhury, J.H.: ‘Identification of equivalent linear power system models from electromagnetic transient time domain simulations using Prony's method’. Proc. of 35th Conf. on Decision and Control, Kobe, Japan, 1996.
    8. 8)
    9. 9)
      • 9. Lu, C., Li, L., He, J., Wu, X., Li, P.: ‘Optimal coordinate design of multiple HVDC modulation controllers based on MIMO system identification’. Proc. of IEEE Power Engineering Society General Meeting, Tampa, FL, 2007.
    10. 10)
      • 10. Ke, L., Liu, Y., Ye, H.: ‘Wide-area damping controller based on model prediction and sliding mode control’. Proc. of the Eighth World Congress on Intelligent Control and Automation, Jinan, China, 6–9 July 2010, pp. 37283731.
    11. 11)
    12. 12)
    13. 13)
      • 13. Liu, X., Liu, G., Sherwood, M., Venkatasubramanian, V.M.: ‘Wide-area monitoring and control algorithms for large power systems using synchrophasors’. Proc. of 2010 IREP Symposium-Bulk Power System Dynamics and Control – VIII (IREP), Buzios, RJ, Brazil, 1–6 August 2010.
    14. 14)
    15. 15)
    16. 16)
    17. 17)
    18. 18)
    19. 19)
    20. 20)
    21. 21)
    22. 22)
    23. 23)
    24. 24)
      • 24. Burke, J.V., Henrion, D., Lewis, A.S., Overton, M.L.: ‘HIFOO: a MATLAB package for fixed-order controller design andH optimization’. Proc. of Fifth IFAC Symp. Robust Control Design (ROCOND), Toulouse, France, 2006.
    25. 25)
      • 25. Gumussoy, S., Millstone, M., Overton, M.L.: ‘Hstrong stabilization via HIFOO, a package for fixed-order controller design’. Proc. of 47th IEEE Conf. onDecision and Control, CDC 2008, 9–11 December 2008, pp. 41354140.
    26. 26)
      • 26. Dotta, D., De Silva, A.S., Decker, I.C.: ‘Design of power system controllers by non-smooth, non-convex optimization’. Proc. of IEEE Power & Energy Society General Meeting, PES '09, Calgary, 26–30 July 2009.
    27. 27)
      • 27. Vajta, M.: ‘Some remarks on Pad́e approximations’. In 3td TEMPUSINTCOM Symp., Veszpem, Hungary, September 2005.
    28. 28)
    29. 29)
    30. 30)
      • 30. Chaudhuri, N.R., Chakraborty, D., Chaudhuri, B.: ‘Damping control in power systems under constrained communication bandwidth: a predictor corrector strategy’, IEEE Trans. Control Syst. Technol., 2012, 20, pp. 223231.
    31. 31)
    32. 32)
    33. 33)
    34. 34)
    35. 35)
    36. 36)
    37. 37)
      • 37. Kishor, N., Haarla, L., Turunen, J.: ‘Controller design with model identification approach in wide area power system’. Proc. of IEEE PowerTech 2013, Grenoble, 16–20 June 2013.
    38. 38)
      • 38. http://www.eleceng.adelaide.edu.au/groups/PCON/PowerSystems/IEEE/BenchmarkData/index.html, downloaded on 15 September 2012.
    39. 39)
    40. 40)
    41. 41)
      • 41. Garnier, H., Gilson, M., Laurain, V.: ‘The CONTSID toolbox for MATLAB: extensions and latest developments’. Proc. of 15th IFAC Symp. on system Identification, SYSID 2009, Saint-Malo, France, 2009.
    42. 42)
      • 42. Rao, G.P., Unbehauen, H.: ‘Identification of continuous-time systems’. IEE Proc. of Control Theory & Applications, 2006, vol. 153, pp. 185220.
    43. 43)
    44. 44)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-gtd.2013.0167
Loading

Related content

content/journals/10.1049/iet-gtd.2013.0167
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address