《電子技術(shù)應(yīng)用》
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極端條件下高壓輸電線路覆冰識(shí)別檢測(cè)技術(shù)
電子技術(shù)應(yīng)用
王拓1,張霖2,唐偉曄3,王凱2,張淑敏1,李欣宇1,唐德東1
(1.重慶科技學(xué)院 電氣工程學(xué)院, 重慶 401331;2.中國(guó)石油西南油氣田川西北氣礦, 四川 綿陽(yáng) 621700; 3.北京理工大學(xué) 自動(dòng)化學(xué)院, 北京 100081)
摘要: 目前,越來(lái)越多的高壓輸電線路需穿過重度覆冰區(qū),由冰雪災(zāi)害引起的輸電線路故障問題頻繁發(fā)生,從而造成一定的經(jīng)濟(jì)損失,故需要探索一種有效識(shí)別極端條件下覆冰輸電線路狀態(tài)的檢測(cè)算法。提出小波變換模極大值和多尺度多結(jié)構(gòu)形態(tài)學(xué)兩者加權(quán)融合算法,對(duì)算法的原理進(jìn)行了分析,結(jié)合所采集到的圖像,通過去霧、濾波、灰度增強(qiáng)等方法對(duì)圖像預(yù)處理,對(duì)邊緣檢測(cè)算法進(jìn)行實(shí)現(xiàn)。通過對(duì)比經(jīng)典常用的邊緣檢測(cè)算子發(fā)現(xiàn),該方法在極端條件下對(duì)覆冰輸電線路邊緣輪廓檢測(cè)誤差只有0.661 7%,滿足極端條件下覆冰輸電線路識(shí)別檢測(cè),為下一步輸電線路覆冰厚度計(jì)算以及故障診斷提供技術(shù)支持。
中圖分類號(hào):TP29;TM755
文獻(xiàn)標(biāo)志碼:A
DOI: 10.16157/j.issn.0258-7998.223537
中文引用格式: 王拓,張霖,唐偉曄,等. 極端條件下高壓輸電線路覆冰識(shí)別檢測(cè)技術(shù)[J]. 電子技術(shù)應(yīng)用,2023,49(7):67-71.
英文引用格式: Wang Tuo,Zhang Lin,Tang Weiye,et al. Identification and detection technology of icing on high-voltage transmission lines under extreme conditions[J]. Application of Electronic Technique,2023,49(7):67-71.
Identification and detection technology of icing on high-voltage transmission lines under extreme conditions
Wang Tuo1,Zhang Lin2,Tang Weiye3,Wang Kai2,Zhang Shumin1,Li Xinyu1,Tang Dedong1
(1.College of Electrical Engineering, Chongqing University of Science and Technology, Chongqing 401331, China; 2.PetroChina Southwest Oil & Gas Field Sichuan Northwest Gas Mine,Mianyang 621700, China; 3.School of Automation, Beijing Institute of Technology, Beijing 100081,China)
Abstract: At the moment, an increasing number of high-voltage transmission lines must pass through substantially ice-covered locations, and transmission line breakdowns caused by snow and ice disasters occur on a regular basis, resulting in economic losses. As a result, it is required to investigate an effective detection technique for determining the state of ice-covered transmission lines in harsh conditions. This work presents and examines a weighted fusion approach for wavelet transform mode maximum and multi-scale and multi-structure morphology. Image preprocessing is performed on the acquired images using methods such as de-fogging, filtering, and gray augmentation, and the edge detection algorithm is achieved. By comparing the classical and commonly used edge detection operators, it is discovered that the error of this method is only 0.661 7% for the edge profile detection of ice-covered transmission lines under extreme conditions, which meets the requirements for the identification and detection of ice-covered transmission lines under extreme conditions. It provides technical assistance for calculating ice thickness and diagnosing transmission line faults.
Key words : transmission line;icing;detect;extreme conditions

0 引言

隨著全球能源互聯(lián)概念的提出,遠(yuǎn)距離、大容量的輸電將成為未來(lái)輸電線路的發(fā)展方向。近年來(lái),由于我國(guó)輸電技術(shù)的發(fā)展,超高壓、特高壓輸電技術(shù)的普及,以及西電東送、北電南送等重大戰(zhàn)略目標(biāo)的確定,越來(lái)越多的輸電線路需要穿過重度覆冰區(qū),由冰雪災(zāi)害所引起的輸電線路故障日益受到重視。目前,主流的覆冰線路在線監(jiān)測(cè)系統(tǒng)主要分為物理方法和圖像處理方法兩大類。物理方法如采用垂直比載變化特性的線路覆冰狀態(tài)力學(xué)分析模型、導(dǎo)入風(fēng)偏因素的改進(jìn)力學(xué)模型、結(jié)合風(fēng)載荷及不均勻冰校正系數(shù)的改進(jìn)力學(xué)模型等,其原理是通過測(cè)量輸電線路的各物理量參數(shù)來(lái)構(gòu)建力學(xué)模型,對(duì)輸電線路的覆冰狀態(tài)進(jìn)行判斷分析,但其在極端條件下影響因素較多,精確度難以保證。圖像處理方法則是通過塔桿固定的攝像機(jī)來(lái)實(shí)時(shí)采集輸電線路的圖像,再結(jié)合機(jī)器視覺與一些學(xué)習(xí)算法來(lái)分析覆冰線路的狀態(tài),如采用基于三維即時(shí)成像立體視覺技術(shù)實(shí)現(xiàn)覆冰厚度測(cè)量,但多目攝像機(jī)安裝難度大,且易受極端環(huán)境影響;華南理工大學(xué)郝艷捧等通過3階 B樣條函數(shù)結(jié)合Hough變換識(shí)別覆冰導(dǎo)線,但覆冰厚度的計(jì)算過程相對(duì)復(fù)雜,不能夠用于實(shí)時(shí)在線監(jiān)測(cè);還有采用無(wú)人機(jī)搭載工業(yè)攝像機(jī)對(duì)輸電線路狀態(tài)進(jìn)行航拍,然后再通過算法計(jì)算線路覆冰厚度,但在惡劣壞境下氣流、雨雪等惡劣天氣條件情況復(fù)雜,會(huì)對(duì)航拍造成干擾而無(wú)法工作。

綜上所述,上述方法均難以滿足在極端條件下對(duì)覆冰輸電線路進(jìn)行有效檢測(cè),因此如何尋找一種適應(yīng)于極端條件下覆冰輸電線路有效檢測(cè)方法,助力我國(guó)電力企業(yè)預(yù)防和控制覆冰所帶來(lái)的災(zāi)害,保證電力系統(tǒng)的安全穩(wěn)定運(yùn)行具有重要意義。


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作者信息:

王拓1,張霖2,唐偉曄3,王凱2,張淑敏1,李欣宇1,唐德東1

(1.重慶科技學(xué)院 電氣工程學(xué)院, 重慶 401331;2.中國(guó)石油西南油氣田川西北氣礦, 四川 綿陽(yáng) 621700;3.北京理工大學(xué) 自動(dòng)化學(xué)院, 北京 100081)

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