An Embedded Estimator for Online Harmonic Monitoring In Power-Electronic Grids

Zongshuai Jin, Hengxu Zhang, Vladimir Terzija

Research output: Contribution to journalArticlepeer-review


A real-time harmonic estimator is proposed to provide a high-accuracy, computationally-efficient, and low-cachecost solution that can be applied in embedded system for the online monitoring of numerous harmonics in wide frequency band in electronic power systems. Firstly, the fast-tuning filter bank, named FT-TFT FB, is presented, which can be fast generated by straightforwardly tuning the pseudo inverse of the basic singlefrequency Taylor-Fourier basis matrix using the frequencyrelated diagonal weight matrix. Secondly, the robust FT-TFT estimator, named RFT-TFT, is proposed by estimating harmonics using the FT-TFT FB with a fast bias compensation process. It is verified using the numerical test that RFT-TFT estimator can achieve the same high accuracy as iterative TFT (I-TFT) estimator under steady and dynamic conditions but be much faster than I-TFT. The online application feasibility is further verified by implementing RFT-TFT estimator in C6748 DSP-based embedded prototype. Finally, this prototype is applied for the field signal analysis of ±800 kV Ultra HVDC transmission system and the real-time harmonic monitoring of one 0.3 MW distributed photovoltaic (PV) system, respectively.

Original languageEnglish
Pages (from-to)1
Number of pages1
JournalIEEE Transactions on Smart Grid
Publication statusAccepted/In press - 2022


  • electronic power system
  • embedded system
  • Estimation
  • Frequency estimation
  • Harmonic analysis
  • harmonics
  • Power harmonic filters
  • Prototypes
  • real-time monitoring
  • Real-time systems
  • Thin film transistors
  • wide frequency band


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