EconPapers    
Economics at your fingertips  
 

Real-Time Estimation of Power System Frequency Using a Three-Level Discrete Fourier Transform Method

Soon-Ryul Nam, Seung-Hwa Kang and Sang-Hee Kang
Additional contact information
Soon-Ryul Nam: Department of Electrical Engineering, Myongji University, Yongin 449-728, Korea
Seung-Hwa Kang: Department of Electrical Engineering, Myongji University, Yongin 449-728, Korea
Sang-Hee Kang: Department of Electrical Engineering, Myongji University, Yongin 449-728, Korea

Energies, 2014, vol. 8, issue 1, 1-15

Abstract: This paper proposes a three-level discrete Fourier transform (DFT) method to provide an accurate estimate of power system frequency in real time. The first level decomposes a power system signal into two orthogonal cosine- and sine-filtered signals. The second and third levels are used to determine the amplitude ratio of the cosine- and sine-filtered signals without encountering the zero-crossing problem and with an increase in ability to suppress harmonics and inter-harmonics. The performance of the three-level DFT method is evaluated using computer-simulated signals with harmonics and inter-harmonics. The three-level DFT method is also implemented on a digital signal processor (DSP)-based hardware prototype, and its performance in the hardware implementation is evaluated using a real-time digital simulator (RTDS). The evaluation results show that the three-level DFT method can achieve real-time estimation of power system frequency with satisfactory performance.

Keywords: amplitude ratio; power system frequency; hardware implementation; real-time estimation; three-level discrete Fourier transform; zero-crossing problem (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/8/1/79/pdf (application/pdf)
https://www.mdpi.com/1996-1073/8/1/79/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:8:y:2014:i:1:p:79-93:d:43930

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:8:y:2014:i:1:p:79-93:d:43930