基于邊緣計算的變電站風險預警管控系統(tǒng)設計
2023年電子技術應用第4期
莊莉1,,劉寶升2,,王秋琳1,,呂君玉1,,陳桂良1
(1.福建億榕信息技術有限公司,福建 福州350001,;2.國家電網(wǎng)有限公司,,北京 100031)
摘要: 為實現(xiàn)變電站風險預警的實多維度管控,,設計基于邊緣計算的變電站風險預警管控系統(tǒng),。感知層通過物聯(lián)網(wǎng)設備采集變電站設備的運行相關數(shù)據(jù),利用邊緣設備和外部設備之間的通信傳送數(shù)據(jù)至邊緣層,;邊緣層接收數(shù)據(jù)后,,通過通信協(xié)議解析該數(shù)據(jù),完成數(shù)據(jù)的一致性,,包裝云服務下行數(shù)據(jù)傳送至云計算層,;云計算層利用云計算計算和分析變電站設備數(shù)據(jù)并傳送至應用層;應用層采用支持向量機算法建立風險預警機制劃分風險數(shù)據(jù)的屬性,、獲取預警值,,在此基礎上,通過Logistic回歸風險預測模型預測預警值對應的風險情況,,得出故障發(fā)生概率完成變電站風險預警,,同時將預警結果呈現(xiàn)在可視化界面,并由控制通道管控相應的風險預警,。測試結果顯示:系統(tǒng)的通信抖動結果均在15 ms以下,,能夠實現(xiàn)風險概率的計算,獲取變電站各類風險預警數(shù)量,,具備良好的工作能效,,能多維度實現(xiàn)變電站風險預警管控。
中圖分類號:TP273
文獻標志碼:A
DOI: 10.16157/j.issn.0258-7998.222968
中文引用格式: 莊莉,,劉寶升,,王秋琳,等. 基于邊緣計算的變電站風險預警管控系統(tǒng)設計[J]. 電子技術應用,,2023,,49(4):92-97.
英文引用格式: Zhuang Li,Liu Baosheng,,Wang Qiulin,,et al. Design of substation risk early warning and control system based on edge calculation[J]. Application of Electronic Technique,2023,,49(4):92-97.
文獻標志碼:A
DOI: 10.16157/j.issn.0258-7998.222968
中文引用格式: 莊莉,,劉寶升,,王秋琳,等. 基于邊緣計算的變電站風險預警管控系統(tǒng)設計[J]. 電子技術應用,,2023,,49(4):92-97.
英文引用格式: Zhuang Li,Liu Baosheng,,Wang Qiulin,,et al. Design of substation risk early warning and control system based on edge calculation[J]. Application of Electronic Technique,2023,,49(4):92-97.
Design of substation risk early warning and control system based on edge calculation
Zhuang Li1,,Liu Baosheng2,,Wang Qiulin1,Lv Junyu1,,Chen Guiliang1
(1.Fujian YiRong Information Technology Co.,, Ltd., Fuzhou 350001,,China,;2.State Grid Co., Ltd.,, Beijing 100031,,China)
Abstract: In order to realize real-time and multi-dimensional control of substation risk early warning, a substation risk early warning and control system based on edge computing is designed. The sensing layer collects the operation data of substation equipment through the Internet of Things equipment, and transmits the data to the edge layer through the communication between edge equipment and external equipment. After receiving data, edge layer parses the data through the communication protocol to complete data consistency, and packages cloud services downstream data sending to the cloud computing layer. The layer uses cloud computing to compute and analyze substation equipment data and transmit it to the application layer. The application layer adopts support vector machine (SVM) algorithm to establish a risk early warning mechanism, divide the risk data attribute, and obtain warning value. Based on this, the risk situation corresponding to the early warning value is predicted by the logistic regression risk prediction model, and the probability of failure is obtained to complete the substation risk warning. Meanwhile, the early warning results are presented on the visual interface, and the corresponding risk warning is controlled and controlled by the control channel. The test results show that the communication jitter results of the system are all below 15 ms, which can realize the calculation of risk probability, obtain the number of various risk warnings of the substation, have good work energy efficiency, and realize the multi-dimensional risk warning and control of the substation.
Key words : edge calculation;substation,;risk warning and control,;risk warning mechanism;data analysis,;the early warning value
0 引言
電力系統(tǒng)中用于完成電力能源接收和分配的場所稱為變電站,,由一類和二類設備組成其可完成電網(wǎng)中電壓和電流的變換,按照電壓的等級對其分類,,可將其分為四類,。由于變電站的結構較為復雜,因此電力企業(yè)在對變電站實行管理過程中,,為保證變電站的運行安全,,安全監(jiān)控則是主要手段。并且變電站在安全管控過程中存在突發(fā)性,、未知性,,因此,導致對變電站風險因素的變動趨勢掌控存在一定不足,,其風險預警則產(chǎn)生一定的不確定性,。邊緣計算是一種能夠提供最近端服務的技術,其可在邊緣側發(fā)起應用程序,,實現(xiàn)網(wǎng)絡服務的快速相應,,滿足業(yè)務的實時、智能應用以及安全保護等需求,。
周敬嵩等人和楊至元等人針對變電站安全管控過程中存在的問題,,分別對變電站的安全管控實行分析后,基于移動式紅外測溫,、基于Cyber-net與學習算法分別研究變電站的安全管控方法,。上述方法在管控過程中,僅在變電站設備溫度預警,、故障預警方面具備較好效果,,但是無法完成微小風險的提前預防,,實現(xiàn)多維度風險預警。因此,,本文設計基于邊緣計算的變電站風險預警管控系統(tǒng),,結合邊緣計算和云計算的優(yōu)勢,實現(xiàn)變電站風險預警管控,。
本文詳細內容請下載:http://forexkbc.com/resource/share/2000005290
作者信息:
莊莉1,,劉寶升2,王秋琳1,,呂君玉1,,陳桂良1
(1.福建億榕信息技術有限公司,福建 福州350001,;2.國家電網(wǎng)有限公司,,北京 100031)
此內容為AET網(wǎng)站原創(chuàng),,未經(jīng)授權禁止轉載,。