本文選題：電力系統(tǒng)　切入點：隔離裝置　出處：《上海電力學院》2017年碩士論文

【摘要】：隨著計算機技術和通信技術在電力系統(tǒng)中的廣泛應用,以表盤式為特征的傳統(tǒng)量測系統(tǒng)逐漸升級為數(shù)字化、自動化和高度信息化的現(xiàn)代量測系統(tǒng)。依賴操作人員經(jīng)驗的檢測和監(jiān)測被高效的自動化數(shù)據(jù)采集和檢測系統(tǒng)替代,降低了電力系統(tǒng)人為故障事故的風險,提高了運行的安全性。然而假數(shù)據(jù)注入攻擊的提出和近幾年使用網(wǎng)絡技術惡意攻擊電力系統(tǒng)事件的發(fā)生,使電力系統(tǒng)安全面臨新的嚴峻威脅。本文以此為背景,研究了直接攻擊電力系統(tǒng)的基于通信協(xié)議的網(wǎng)絡攻擊手段,測試了傳統(tǒng)不良數(shù)據(jù)檢測方法對假數(shù)據(jù)注入攻擊的檢測效果,最后提出了能夠檢測假數(shù)據(jù)注入攻擊的基于數(shù)據(jù)關系圖的不良數(shù)據(jù)檢測方法。主要研究成果如下:對電力系統(tǒng)正向隔離裝置進行了傳輸功能測試和各種攻擊測試,嘗試突破正向隔離裝置進入電力系統(tǒng)生產(chǎn)控制區(qū)。正向隔離裝置在各種攻擊測試中正常工作,發(fā)揮了隔離作用,不過測試過程中發(fā)現(xiàn)了正向隔離裝置可能的潛在漏洞。分析了假數(shù)據(jù)注入攻擊的原理,并在四節(jié)點16測點模擬系統(tǒng)上實現(xiàn)了注入攻擊,同時也證明了基于殘差的傳統(tǒng)不量數(shù)據(jù)檢測方法無法有效檢測出假數(shù)據(jù)注入攻擊。提出了基于數(shù)據(jù)關系圖的不良數(shù)據(jù)檢測方法,利用正常量測條件下狀態(tài)關系圖和含有不良數(shù)據(jù)或假數(shù)據(jù)的量測條件下狀態(tài)關系圖的不一致檢測并辨識不良數(shù)據(jù)或假數(shù)據(jù)發(fā)生點。并在四節(jié)點16測點模擬系統(tǒng)上對不良數(shù)據(jù)和假數(shù)據(jù)注入攻擊進行了檢測實驗,實驗表明基于數(shù)據(jù)關系圖的不良數(shù)據(jù)檢測方法能有效避免殘差污染和殘差淹沒現(xiàn)象,正確檢測出不良數(shù)據(jù)和假數(shù)據(jù)注入攻擊。
[Abstract]:With the wide application of computer technology and communication technology in power system, the traditional measurement system characterized by dial type is gradually upgraded to digitization. Automated and highly information-based modern measurement system. The detection and monitoring based on operator's experience is replaced by efficient automatic data acquisition and detection system, which reduces the risk of human fault in power system. However, the false data injection attack and the occurrence of malicious attacks on power system using network technology in recent years make the security of power system face new and severe threat. The network attack method based on communication protocol for direct attack on power system is studied, and the detection effect of traditional bad data detection method on false data injection attack is tested. Finally, a method of detecting bad data based on data relation diagram is proposed, which can detect false data injection attacks. The main research results are as follows: the transmission function test and attack test of forward isolating device in power system are carried out. Attempts to break through the forward isolator into the production control area of the power system. The forward isolator works normally in various attack tests and plays an isolating role. However, the potential vulnerabilities of the forward isolation device were found during the test. The principle of the false data injection attack was analyzed, and the injection attack was realized on the four-node 16-point simulation system. At the same time, it is proved that the traditional data detection method based on residual error can not detect false data injection attack effectively, and a bad data detection method based on data relational graph is proposed. The inconsistency of the state diagram under normal measurement condition and that of measurement condition containing bad data or false data is used to detect and identify the point of occurrence of bad data or false data. The detection experiment of bad data and false data injection attack is carried out. The experimental results show that the bad data detection method based on the data relational graph can effectively avoid residual pollution and residual submergence and detect the bad data and false data injection attack correctly.
【學位授予單位】：上海電力學院
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP309;TM73

【參考文獻】

相關期刊論文 前10條

1 張林鵬;王勇;;電力系統(tǒng)正向隔離裝置漏洞分析與防御[J];自動化博覽;2016年11期

2 趙潔瓊;趙思涵;陳亮;;基于PMU數(shù)據(jù)的電力系統(tǒng)狀態(tài)估計研究綜述[J];能源與節(jié)能;2016年04期

3 倪明;顏詰;柏瑞;湯奕;;電力系統(tǒng)防惡意信息攻擊的思考[J];電力系統(tǒng)自動化;2016年05期

4 李強;柳丹;袁曉冬;;適用于分布式新能源的直流供電模式及其在江蘇電網(wǎng)的應用[J];供用電;2015年10期

5 魏艷花;徐劍;;淺析含新能源電力系統(tǒng)狀態(tài)估計研究現(xiàn)狀和展望[J];黑龍江科技信息;2014年32期

6 李偉;張道農;于永良;楊東升;;同步相量測量裝置現(xiàn)場動態(tài)測試方法研究[J];東北電力技術;2014年09期

7 馮迎賓;李智剛;王曉輝;;海底觀測網(wǎng)電力系統(tǒng)狀態(tài)估計[J];電力自動化設備;2014年09期

8 薛安成;張兆陽;張建民;常乃超;畢天姝;;基于最大測點正常率的線路參數(shù)增廣狀態(tài)估計方法[J];電力系統(tǒng)自動化;2014年10期

9 趙俊博;張葛祥;黃彥全;;含新能源電力系統(tǒng)狀態(tài)估計研究現(xiàn)狀和展望[J];電力自動化設備;2014年05期

10 陳曉輝;陳曉東;;淺談電力系統(tǒng)調度安全運行管理及對策[J];電源技術應用;2014年03期

相關會議論文 前1條

1 杜志佳;吳軍基;;基于數(shù)據(jù)挖掘的電力系統(tǒng)狀態(tài)估計研究[A];中國高等學校電力系統(tǒng)及其自動化專業(yè)第二十四屆學術年會論文集（上冊）[C];2008年

相關博士學位論文 前1條

1 陳波;電力系統(tǒng)不良數(shù)據(jù)辨識的研究[D];華南理工大學;2010年

相關碩士學位論文 前2條

1 李爽;基于PMU/SCADA混合數(shù)據(jù)的電力系統(tǒng)狀態(tài)估計的研究[D];華北電力大學;2013年

2 周琦;基于PMU優(yōu)化的電力系統(tǒng)狀態(tài)估計算法的研究[D];華北電力大學（河北）;2008年

，

本文編號：1677236