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

SUBSCRIPTION MANAGEMENT

發(fā)行征訂

首頁 >> 發(fā)行征訂 >> 征訂方式

基于原子能量分布的配電網(wǎng)暫時過電壓識別方法

來源:電工電氣發(fā)布時間:2024-11-04 13:04瀏覽次數(shù):103

基于原子能量分布的配電網(wǎng)暫時過電壓識別方法

廖宇飛
(國網(wǎng)福建省電力有限公司福州供電公司,福建 福州 350009)
 
    摘 要:針對配電網(wǎng)領域的過電壓識別問題,提出一種基于原子能量分布的配電網(wǎng)暫時過電壓識別方法。利用原子分解算法對母線零序電壓進行分解,獲得能反映過電壓信號內(nèi)部結構的原子及其參數(shù);依據(jù)原子頻率對原子進行劃分和重構,構造原子能量作為特征向量,并將其輸入支持向量機中實現(xiàn)暫時過電壓識別。分別利用仿真模型、物理實驗平臺和現(xiàn)場實測數(shù)據(jù)對所提方法進行驗證,結果表明:該方法所提取的特征量維數(shù)低、區(qū)分度高,且能表示暫時過電壓的本質(zhì)特征,結合分類器具有較高的識別準確率和較強的適應性。
    關鍵詞: 配電網(wǎng);暫時過電壓;識別方法;原子分解;零序電壓;原子能量;支持向量機
    中圖分類號:TM711 ;TM863     文獻標識碼:A     文章編號:1007-3175(2024)10-0019-07
 
Identification Method of Temporary Overvoltage in Distribution Network
Based on Atomic Energy Distribution
 
LIAO Yu-fei
(Fuzhou Power Supply Company of State Grid Fujian Electric Power Co., Ltd, Fuzhou 350009, China)
 
    Abstract: Aiming at the problem of overvoltage identification in the field of current distribution networks, a method for temporary overvoltage identification method based on atomic energy distribution is proposed. Firstly, the atomic decomposition algorithm is used to decompose the zero sequence voltage of the bus to obtain the atoms and their parameters that reflect the internal structure of the overvoltage signal.Then, the atoms are divided and reconstructed according to the atomic frequency, and the atomic energy is constructed as a feature vector,which input into support vector machine to realize temporary overvoltage identification. Finally, the simulation model, physical experiment platform and field measurement data are used to verify the proposed method, and the results show that: the feature quantity extracted by the proposed method has low dimension, high discrimination and can represent the essential characteristics of temporary overvoltage. In addition,the combination classifier has higher recognition accuracy and stronger adaptability.
    Key words: distribution network; temporary overvoltage; identification method; atomic decomposition; zero sequence voltage; atomic energy;support vector machine
 
參考文獻
[1] 廖宇飛,楊耿杰,高偉,等. 基于 AD-CNN 算法的配電網(wǎng)內(nèi)部過電壓識別技術[J] . 高電壓技術,2019,45(10) :3182-3191.
[2] 杜林,郭良峰,司馬文霞,等. 基于遺傳算法的電網(wǎng)過電壓分層模糊聚類識別[J] . 中國電機工程學報,2010, 30(10) :119-124.
[3] 杜林,李欣,王麗蓉,等. 電力系統(tǒng)暫時過電壓多級支持向量機分層識別[J] . 電力系統(tǒng)保護與控制,2012, 40(4) :26-31.
[4] 楊勇,李立浧,杜林,等. 采用時頻矩陣奇異值分解和多級支持向量機的雷電及操作過電壓識別[J]. 電網(wǎng)技術,2012,36(8) :31-37.
[5] 楊慶,趙洪彬,司馬文霞,等. 基于閾值判斷和支持向量機的電網(wǎng)實測過電壓識別[J] . 高電壓技術,2016, 42(10) :3188-3198.
[6] WANG Jing, YANG Qing, SIMA Wenxia, et al.A Smart Online Over-Voltage Monitoring and Identification System[J].Energies,2011,4(4) :599-615.
[7] 黃艷玲,司馬文霞,楊慶,等. 電力系統(tǒng)實測過電壓信號的特征量提取與驗證[J] . 高電壓技術,2013,39(1) :60-66.
[8] GUO Moufa, YANG Nienche.Features-clusteringbased earth fault detection using singular-value decomposition and fuzzy c-means in resonant grounding distribution systems[J].International Journal of Electrical Power & Energy Systems,2017, 93 :97-108.
[9] 司馬文霞,王荊,楊慶,等.Hilbert-Huang 變換在電力系統(tǒng)過電壓識別中的應用[J] . 高電壓技術,2010,36(6) :1480-1486.
[10] 金濤,許立彬,高偉,等. 一種基于 LCD-Hilbert 變換和奇異譜熵的配電網(wǎng)暫時過電壓類型識別方法[J] .電機與控制學報,2018,22(11) :26-36.
[11] 楊冬鋒,陳盛開,劉曉軍,等. 基于自適應 VMD 和時-頻分段能量熵特征的過電壓信號識別[J] . 電網(wǎng)技術,2019,43(12) :4597-4604.
[12] 張英杰,龔慶武,李勛,等. 基于 PSO 的原子分解法在間諧波分析中的應用[J] . 電力系統(tǒng)保護與控制,2013, 41(15) :41-48.
[13] MALLAT S G, ZHANG Z F.Matching pursuits with time-frequency dictionaries[J].IEEE Transactions on Sigal Processing,1993,41(12) :3397-3415.
[14] 董飛飛,劉滌塵,廖清芬,等. 基于阻尼正弦原子分解的次同步振蕩模態(tài)辨識[J] . 中國電機工程學報,2013,33(19) :119-125.
[15] AZAD H R L.An Application of Opposition Based Colonial Competitive Algorithm to Solve Network Count Location Problem[J].International Journal of Intelligent Systems and Applications,2013,6(1) :29-35.
[16] 黃艷玲,司馬文霞,楊慶,等. 基于實測數(shù)據(jù)的電力系統(tǒng)過電壓分類識別[J] . 電力系統(tǒng)自動化,2012,36(4) :1000-1026.
[17] 郭謀發(fā),游林旭,洪翠,等. 基于 LCD-Hilbert 譜奇異值和多級支持向量機的配電網(wǎng)故障識別方法[J]. 高電壓技術,2017,43(4) :1239-1247.
[18] 吳廣寧,袁海滿,宋臻杰,等. 基于粗糙集與多類支持向量機的電力變壓器故障診斷[J] . 高電壓技術,2017, 43(11) :3668-3674.
[19] 司馬文霞, 冉銳, 袁濤, 等. 采用數(shù)學形態(tài)學的弧光接地過電壓識別方法[J] . 高電壓技術,2010,36(4) :835-841.
[20] 司馬文霞,郭飛,楊慶,等. 變電站鐵磁諧振仿真分析及抑制措施研究[J] . 電力自動化設備,2007,27(6) :22-26.