Suzhou Electric Appliance Research Institute
期刊號(hào): CN32-1800/TM| ISSN1007-3175

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MFCDD優(yōu)化三次樣條平滑算法在繼電器數(shù)據(jù)插值中的應(yīng)用

來源:電工電氣發(fā)布時(shí)間:2024-08-01 14:01 瀏覽次數(shù):280

MFCDD優(yōu)化三次樣條平滑算法在繼電器數(shù)據(jù)插值中的應(yīng)用

馬思寧1,孫鑫亮2,李文華2,沈培根3
(1 天津輕工職業(yè)技術(shù)學(xué)院 電子信息與自動(dòng)化學(xué)院,天津 300350;
2 河北工業(yè)大學(xué) 電氣工程學(xué)院,天津 300130;
3 國網(wǎng)冀北電力有限公司,北京 100054)
 
    摘 要:繼電器參數(shù)眾多,并且對(duì)各參數(shù)的測量方式和測量間隔不同,釋放電壓等參數(shù)相較于時(shí)間參數(shù)等實(shí)時(shí)測量參數(shù),數(shù)據(jù)量較少,在進(jìn)行相關(guān)分析時(shí)會(huì)造成結(jié)果精度較差的情況。提出一種形態(tài)波動(dòng)一致性偏移距離(MFCDD)優(yōu)化的平滑指標(biāo)改進(jìn)三次樣條插值算法。引入平滑指標(biāo)改進(jìn),對(duì)數(shù)據(jù)序列相關(guān)點(diǎn)的方差貢獻(xiàn)率及單點(diǎn)平滑度進(jìn)行分析,確定數(shù)據(jù)序列的平滑點(diǎn)及波動(dòng)點(diǎn);采用三次指數(shù)平滑對(duì)三次樣條算法進(jìn)行改進(jìn),確定改進(jìn)后的插值表達(dá)式;引入形態(tài)波動(dòng)一致性偏移距離對(duì)插值間隔進(jìn)行確定,完成數(shù)據(jù)擴(kuò)充。采用繼電器吸合電壓參數(shù)和釋放電壓參數(shù)對(duì)上述方法進(jìn)行驗(yàn)證,結(jié)果表明上述方法對(duì)數(shù)據(jù)擴(kuò)充具有較好的準(zhǔn)確性。
    關(guān)鍵詞: 形態(tài)波動(dòng)一致性偏移距離(MFCDD) ;改進(jìn)三次樣條插值;平滑指標(biāo);方差貢獻(xiàn)率
    中圖分類號(hào):TM58     文獻(xiàn)標(biāo)識(shí)碼:B     文章編號(hào):1007-3175(2024)07-0043-10
 
Application of MFCDD Optimized Cubic Spline Smoothing
Algorithm in Relay Data Interpolation
 
MA Si-ning1, SUN Xin-liang2, LI Wen-hua2, SHEN Pei-gen3
(1 College of Electronic Information and Automation, Tianjin Light Industry Vocational Technical College, Tianjin 300350, China;
2 School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China;
3 State Grid Jibei Electric Power Co., Ltd, Beijing 100054, China)
 
    Abstract: There are many relay parameters, and the measurement methods and measurement intervals of each parameter are different.Compared with real-time measurement parameters such as time parameters, the release voltage and other parameters have less data, which will cause poor result accuracy in correlation analysis. Based on this, this paper proposes a smoothing index improvement cubic spline interpolation algorithm for morphology fluctuation consistency deviation distance (MFCDD) optimization. Firstly, by introducing the improvement of smoothing index, the variance contribution rate and single point smoothness of the correlation points of the data series are analyzed,and the smooth points and fluctuation points of the data series are determined; secondly, the cubic spline algorithm is improved by using cubic exponential smoothing, and the improved interpolation expression is determined; finally, the morphological fluctuation consistency deviation distance is introduced to determine the interpolation interval, and the data expansion is completed. The relay suction voltage parameter and release voltage parameter are used to verify the above method, and the results show that the above method has good accuracy for data expansion.
    Key words: morphological fluctuation consistency deviation distance (MFCDD); improved cubic spline interpolation; smoothing index;variance contribution rate
 
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