Dynamic equivalents of power systems with online measurements. Part 1: theory

Access Full Text

Dynamic equivalents of power systems with online measurements. Part 1: theory

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

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

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 - Generation, Transmission and Distribution — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

© IEE
Published

Dynamic equivalents (DE) can reduce the computing effort and emphasise the main characters of a power system. A DE model has been developed in which identifiability is studied. Identifiability has not only a theoretical meaning, but also practical value. It is shown that some parameters of the model are unidentifiable when using only the steady-state data before disturbance and during disturbance, but identifiable when using only the steady-state data before disturbance and during disturbance, but identifiable when using only the data before and during disturbance, but identifiable when utilising the data after disturbance.

Inspec keywords: transient response; power system identification; power system transient stability; power system parameter estimation

Other keywords: identifiability; steady-state data; power system dynamic equivalent; transient stability; online measurement

Subjects: Control of electric power systems; Power system control; Power engineering computing

References

    1. 1)
      • H.-P. Schwefel . (1995) Evolution and optimum seeking.
    2. 2)
      • P. Ju , E. Handschin , D. Karlsson . Nonlinear dynamic load modeling: model and parameter estimation. IEEE Trans. Power Syst. , 4 , 1689 - 1697
    3. 3)
      • E. Walter . (1987) Identifiability of parametric models.
    4. 4)
      • S.A.Y. Sabir , D.C. Lee . Dynamic load models derived from data acquired during system transients. IEEE Trans. Power Appar. Syst. , 9 , 3365 - 3372
    5. 5)
      • D.E. Goldberg . (1989) Genetic algorithms in search, optimisation and machine learning.
    6. 6)
      • P. Ju , E. Handschin . Identifiability of load models. IEE Proc., Gener. Transm. Distrib. , 1 , 45 - 49
    7. 7)
      • K.P. Wong , K.D. Wong . Combined genetic algorithm/simulated annealing/fuzzy set approach to short term generation scheduling with take-or-pay fuel contract. IEEE Trans. Power Syst. , 1 , 128 - 135
    8. 8)
      • DeMello, R.W., Podmore, R., Stanton, K.N.: `Coherency-based dynamic equivalents: applications in transient stability studies', Presented at Power Industry Computer Applications Conf. (PICA), August 1975.
    9. 9)
      • `Development of dynamic equivalents for transient stability studies', Research Project 763, 1977.
    10. 10)
      • A. Chang , M.M. Adibi . Power system dynamic equivalents. IEEE Trans. Power Appar. Syst. , 4 , 336 - 339
    11. 11)
      • Y.N. Yu . (1986) Dynamic power systems.
    12. 12)
      • J.E. Lansberry , E. Wozniak . Adaptive hydro-generator governor turning with a genetic algorithm. IEEE Trans. Energy Convers. , 1 , 69 - 75
    13. 13)
      • J.A. de Kock , F.S. van Merwe , H.J. Vervielen . Induction motor parameter estimation through an output error techniques. IEEE Trans. Energy Convers. , 1 , 69 - 75
    14. 14)
      • H.W. Dommel , N. Sato . Fast transient stability solutions. IEEE Trans. Power Appar. Syst. , 4 , 419 - 424
http://iet.metastore.ingenta.com/content/journals/10.1049/ip-gtd_20040095
Loading

Related content

content/journals/10.1049/ip-gtd_20040095
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading