期刊
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
卷 65, 期 2, 页码 264-275出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2015.2485339
关键词
Corona current; corona performance; cross correlation function; high-voltage direct current (HVdc); multiple notch filter; noise suppression; particle swarm optimization (PSO); wavelet transform
资金
- National Natural Science Foundation of China [NSFC-61273165, NSFC-51207005]
- Thousand Talents Program through the State Grid Corporation of China under Grand EPRIPDKJ [(2014) 2863]
The complexity and diversity of noise in corona current measurements of high-voltage direct current (HVdc) transmission lines leads to challenges in estimating corona performance. This paper proposes an offline noise suppression method for HVdc corona current measurements. Given that the corona current and background noise processes coexist within the same frequency band, we develop a novel multifaceted filtering approach for HVdc corona currents. Specifically, a cross correlation function-based center frequency recognition method is presented to provide filter design specification for a multiple notch filter to suppress narrow-band radio interference. To then suppress the residual full-band noise, wavelet denoising techniques with hard and soft thresholds are applied and compared. The proposed noise suppression method is applied to fieldmeasured corona current data from the HVdc Experimental Base in China. We assert that the noise suppression method has versatile implementation and can be readily applied for corona loss estimation of HVdc systems.
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