4.5 Article

Novel Detection Method for Consecutive DC Commutation Failure Based on Daubechies Wavelet with 2nd-Order Vanishing Moments

Journal

ENERGIES
Volume 11, Issue 2, Pages -

Publisher

MDPI
DOI: 10.3390/en11020261

Keywords

HVDC; consecutive commutation failure; Daubechies wavelet; 2nd-order vanishing moments; wavelet coefficient

Categories

Funding

  1. National Key R&D Program of China [2017YFB0902600, 2017YFB0902604]
  2. State Grid Corporation of China Project [SGJS0000DKJS1700840]
  3. Research and Application of Risk Assessment and Early Warning Technology for Online Safety Operation of UHV Outsourcing in New Energy Base
  4. National Natural Science Foundation of China [51177111]
  5. Hubei Collaborative Innovation Center for High- Efficient Utilization of Solar Energy [HBSZD.2014003]

Ask authors/readers for more resources

Accurate detection and effective control strategy of commutation failure (CF) of high voltage direct current (HVDC) are of great significance for keeping the safe and stable operations of the hybrid power grid. At first, a novel detection method for consecutive CF is proposed. Concretely, the 2nd and higher orders' derivative values of direct current are summarized as the core to judge CF by analyzing the physical characteristics of the direct current waveform of the converter station in CF. Then, the Daubechies wavelet coefficient that can represent the 2nd and higher order derivative values of direct current is derived. Once the wavelet coefficients of the sampling points are detected to exceed the threshold, the occurrence of CF is confirmed. Furthermore, by instantly increasing advanced firing angle beta in the inverter side, an additional emergency control strategy to prevent subsequent CF is proposed. Eventually, with simulations of the benchmark model, the effectiveness and superiorities of the proposed detection method and additional control strategy in accuracy and rapidity are verified.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available