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

Algorithm for dealing with time-varying signal within sliding-window for harmonics estimation

Algorithm for dealing with time-varying signal within sliding-window for harmonics estimation

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 Science, Measurement & Technology — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

In many state-of-the-art signal processing techniques, a signal within sliding-window (SW) is assumed stationary for analysing non-stationary signals. Whenever this assumption is violated, inaccuracies increase to the unacceptable levels. A narrow window-width is recommended for limiting the effect of variations within window, however, it results in poor frequency resolution and demands for increased computational resources. This study presents a simple and efficient algorithm to address amplitude-variation in a signal within SW, thus, allowing time resolution of 1-cycle and frequency resolution of 5 Hz (as per IEC Std. 61000-4-7) with improved accuracy and reliability of the fast Fourier transform of the time-varying signal. The proposed algorithm computes and applies necessary corrections to provide accurate estimates of the integer harmonics for the most recent cycle, irrespective of the number of cycles within the SW. The proposed algorithm is computationally efficient and fast, therefore, can be implemented easily either on digital signal processor or field programmable gate arrays hardware platform. The salient features of the proposed algorithm have been validated on variety of simulated and experimental signals, and have been compared with similar existing techniques in practice nowadays.

References

    1. 1)
      • 1. IEEE recommended practice for monitoring electric power quality’, IEEE Std 1159-2009, 2009.
    2. 2)
      • 2. IEEE recommended practice and requirements for harmonic control in electric power systems’, IEEE Std. 519-2014, 2014.
    3. 3)
      • 3. Electromagnetic compatibility (EMC). Part4: testing and measurement techniques—power quality measurement methods’, IEC Std. 61000-4-30, 2003.
    4. 4)
      • 4. Testing and measurement techniques-general guide on harmonics and interharmonics measurements and instrumentation, for power supply systems and equipment connected thereto’, IEC Std. 61000-4-7, 2002.
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
    13. 13)
    14. 14)
    15. 15)
    16. 16)
      • 16. Jain, S.K., Singh, S., Singh, J.: ‘An adaptive time-efficient technique for harmonic estimation of non-stationary signals’, IEEE Trans. Ind. Electron., 2013, 60, (8), pp. 32953303.
    17. 17)
    18. 18)
    19. 19)
    20. 20)
    21. 21)
    22. 22)
    23. 23)
    24. 24)
    25. 25)
    26. 26)
    27. 27)
    28. 28)
    29. 29)
    30. 30)
    31. 31)
    32. 32)
    33. 33)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-smt.2015.0073
Loading

Related content

content/journals/10.1049/iet-smt.2015.0073
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address