A Novel Synchrophasor Estimation Based on Enhanced All-Phase DFT with Iterative Compensation and Its Implementation

Zengqin Li, Weifeng Zhang, Zhiyuan Zhuang () and Tao Jin
Additional contact information
Zengqin Li: China Railway Electric Industry Co., Ltd., Baoding 071051, China
Weifeng Zhang: Department of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116, China
Zhiyuan Zhuang: Department of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116, China
Tao Jin: Department of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116, China

Energies, 2022, vol. 15, issue 19, 1-17

Abstract: Synchrophasor estimation was mostly used in transmission systems in the past, and it is difficult to directly apply an existing synchrophasor algorithm to a distribution system with a more complex structure and environment. A synchrophasor estimation algorithm with a high accuracy and fast response speed is required to complete the calculation of the phasor in the face of the complex and changeable power signal of a distribution network. Therefore, an enhanced all-phase discrete Fourier transform (e-apDFT) algorithm is proposed for a distribution system in this paper, and the algorithm is deployed in a phasor measurement unit (PMU) prototype based on digital signal processing (DSP). Aiming to solve the problem of the accuracy of the traditional apDFT being reduced when the response speed is fast due to the influence of a dense spectrum, the existing algorithm is improved through iteratively compensating the spectral interferences to the main bin produced by adjacent bins. The experimental results show that the e-apDFT algorithm still has a fast response speed and that its estimation accuracy is much better than that of the traditional apDFTs in the presence of adjacent harmonic components. The proposed algorithm also complies with the IEEE standards for P-class PMUs.

Keywords: all-phase DFT (apDFT); synchrophasor estimation; phasor measurement unit (PMU); iterative compensation (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: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/19/6964/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/19/6964/ (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:15:y:2022:i:19:p:6964-:d:922663

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 ().