Research on Discrete Fourier Transform-Based Phasor Measurement Algorithm for Distribution Network under High Frequency Sampling
Zhiguo Zhou,
Ruliang Lin,
Lifeng Wang,
Yi Wang and
Hansen Li
Additional contact information
Zhiguo Zhou: School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
Ruliang Lin: School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
Lifeng Wang: State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210008, China
Yi Wang: School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
Hansen Li: School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
Energies, 2018, vol. 11, issue 9, 1-13
Abstract:
This paper proposes a phasor measurement algorithm that is suitable for a distribution network. Under the condition of fixed interval and high frequency sampling, the algorithm uses a dynamic calibration factor to correct the traditional Discrete Fourier Transform (DFT) algorithm, which solves the shortcomings of the rapid decline in traditional algorithm measurement accuracy under the condition of power system frequency deviation or dynamic measurement. Under the high sampling rate of the international distribution network waveform data, the conventional phasor is used to represent the theoretical phasor, and the value of the conventional phasor is compensated to make the result closer to the theoretical value. Finally, the phasor measurement software simulation platform is built in Matlab/Simulink, based on the principle of the algorithm, providing a simulation environment for researchers to verify the phasor measurement algorithm of the distribution network and the fault location, state estimation, or other advanced applications.
Keywords: distribution network; DFT; phasor measurement algorithm; dynamic testing; modeling (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: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:9:p:2203-:d:165260
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