电力系统保护与控制
電力繫統保護與控製
전력계통보호여공제
POWER SYSTM PROTECTION AND CONTROL
2014年
21期
47-53
,共7页
电能质量检测%经验模态分解%模态混叠%高频谐波注入法%频率选取原则
電能質量檢測%經驗模態分解%模態混疊%高頻諧波註入法%頻率選取原則
전능질량검측%경험모태분해%모태혼첩%고빈해파주입법%빈솔선취원칙
power quality detection%EMD%modal aliasing%high-frequency harmonic injection%frequency selection principle
经验模态分解在处理电力系统暂态扰动信号时存在模态混叠的问题,基于高频谐波注入法的经验模态分解(简称HF-EMD)是一种简单高效的改进方法。该方法的有效性依赖于高频谐波频率的选取,而目前并没有有效的频率选取原则。着重对此问题进行了系统的研究,并通过理论分析和大量仿真试验得出了一个具体有效的选取原则:当所注入的谐波频率在原信号高频成份的最小频率与该最小频率增加1/2倍基波频率的范围内时,HF-EMD普遍有效。对PSCAD模型仿真电能质量信号和变电站复杂实测扰动信号的分析表明,该原则具有高效性和普适性,能够有效提高暂态电能质量扰动信号的检测精度。
經驗模態分解在處理電力繫統暫態擾動信號時存在模態混疊的問題,基于高頻諧波註入法的經驗模態分解(簡稱HF-EMD)是一種簡單高效的改進方法。該方法的有效性依賴于高頻諧波頻率的選取,而目前併沒有有效的頻率選取原則。著重對此問題進行瞭繫統的研究,併通過理論分析和大量倣真試驗得齣瞭一箇具體有效的選取原則:噹所註入的諧波頻率在原信號高頻成份的最小頻率與該最小頻率增加1/2倍基波頻率的範圍內時,HF-EMD普遍有效。對PSCAD模型倣真電能質量信號和變電站複雜實測擾動信號的分析錶明,該原則具有高效性和普適性,能夠有效提高暫態電能質量擾動信號的檢測精度。
경험모태분해재처리전력계통잠태우동신호시존재모태혼첩적문제,기우고빈해파주입법적경험모태분해(간칭HF-EMD)시일충간단고효적개진방법。해방법적유효성의뢰우고빈해파빈솔적선취,이목전병몰유유효적빈솔선취원칙。착중대차문제진행료계통적연구,병통과이론분석화대량방진시험득출료일개구체유효적선취원칙:당소주입적해파빈솔재원신호고빈성빈적최소빈솔여해최소빈솔증가1/2배기파빈솔적범위내시,HF-EMD보편유효。대PSCAD모형방진전능질량신호화변전참복잡실측우동신호적분석표명,해원칙구유고효성화보괄성,능구유효제고잠태전능질량우동신호적검측정도。
Modal aliasing problem exists in empirical mode decomposition for the decomposition of transient power quality disturbances, and high-frequency harmonic injection based EMD (HF-EMD) is a simple and efficient method to improve it. The effectiveness of this method depends on the selection of the frequency of the high-frequency harmonic, and there is no effective frequency selection principle. Focusing on this problem, this paper conducts a systematic study, and through theoretical analysis and simulation test, a concrete and effective selection principle is presented. That is to say, when the injected frequencies are in the range from the smallest frequency of the original signal’s high-frequency components to adding a 1/2 times fundamental frequency of the smallest frequency, HF-EMD shows general validity. The analysis of power quality signals simulated by PSCAD and the actual complex disturbance signals of substation shows that this principle is efficient and universal. The detection accuracy of transient power quality disturbances can be effectively improved.