本文選題：模糊測度 + 電力通信網��； 參考：《華北電力大學》2017年碩士論文

【摘要】：隨著傳感器技術、云計算及大數(shù)據(jù)技術不斷成熟,電力系統(tǒng)信息化、智能化進程不斷推進,電力物理空間和電力信息空間的耦合程度不斷加深,即信息物理融合(Cyber Physical System,CPS)的特征越來越明顯,形成了典型的電力信息物理融合系統(tǒng)(Cyber Physical Power System,CPPS)。電力系統(tǒng)中物理空間對信息空間的高度依賴性也使信息系統(tǒng)的可靠性決定著電力系統(tǒng)的安全性。電力信息通信網絡中設備類型多樣、結構復雜、規(guī)模龐大,并且設備狀態(tài)的監(jiān)測精度以及信息采集的頻率、范圍不斷提高,加上電力系統(tǒng)的CPS特征帶來的影響,使得電力信息通信網絡的風險態(tài)勢評估成為一個多層次、多指標,且指標之間具有深度相關性、融合性的問題。針對這一特征給電力信息通信網絡風險評估帶來的挑戰(zhàn)性問題,構建了一種基于模糊測度理論的綜合的風險態(tài)勢評估模型。本文首先構建電力信息通信網絡風險態(tài)勢評估的指標體系,然后給出了基于模糊測度和模糊積分的風險態(tài)勢綜合評估模型。其中,采用改進后的層次分析法和熵權法的權重計算方法來確定單指標的模糊密度,這種主、客觀相結合的方法在一定程度上減少了主觀經驗帶來的誤差;結合數(shù)據(jù)的特征,對嶺型分布進行參數(shù)修正,構建隸屬函數(shù)來計算評價矩陣;針對指標間的相關性、耦合性的特點,選取模糊測度和模糊積分算法,模糊測度用較弱的單調性代替可加性,實現(xiàn)了非可加性,能更加準確的刻畫評估行為,然后用模糊積分算子不斷融合指標集合的估計值來得到綜合的風險態(tài)勢估計值。構建模型后,對某電力通信網進行算例分析、驗證,結果表明了該方法的有效性。設計并實現(xiàn)基于此評估模型的電力通信網風險態(tài)勢評估原型系統(tǒng),實現(xiàn)信息的增、刪、查、改等編輯操作,實現(xiàn)最終風險值的計算,以及模糊密度、模糊測度等中間結果的展示,并實現(xiàn)風險態(tài)勢的可視化展示。
[Abstract]:With the development of sensor technology, cloud computing and big data technology, power system informatization, intelligent process, the coupling degree of electric power physical space and electric power information space is deepening. That is, the characteristics of Cyber physical system CPS) are becoming more and more obvious, forming a typical electric power physical power system named Cyber physical Power system. The high dependence of physical space on information space in power system also makes the reliability of information system determine the security of power system. In the electric power information communication network, the equipment type is various, the structure is complex, the scale is huge, and the monitoring precision of the equipment state and the frequency and the range of the information collection are improved constantly, in addition to the influence of the CPS characteristic of the power system, It makes the risk situation assessment of power information and communication network become a multi-level, multi-index, and the index has deep correlation, fusion problem. A comprehensive risk situation assessment model based on fuzzy measure theory is proposed to solve the challenging problem of power information and communication network risk assessment. In this paper, the index system of power information and communication network risk situation assessment is constructed, and then a comprehensive risk situation assessment model based on fuzzy measure and fuzzy integral is presented. The improved analytic hierarchy process (AHP) and the weight calculation method of entropy weight method are used to determine the fuzzy density of a single index. This subjective and objective combination method reduces the error brought by subjective experience to a certain extent, and combines the characteristics of data. The parameter of ridge distribution is modified and the membership function is constructed to calculate the evaluation matrix. According to the characteristics of correlation and coupling among indexes, fuzzy measure and fuzzy integral algorithm are selected. The fuzzy measure replaces additivity with weak monotonicity. The non-additivity is realized and the evaluation behavior can be described more accurately. Then the fuzzy integral operator is used to continuously fuse the estimate value of the index set to obtain the comprehensive risk situation estimate. After constructing the model, an example of a power communication network is given, and the results show that the method is effective. The prototype system of power communication network risk situation assessment based on this evaluation model is designed and implemented, which can add, delete, check and change information, realize the calculation of final risk value and fuzzy density. The intermediate results such as fuzzy measure are displayed and the visualization of risk situation is realized.
【學位授予單位】：華北電力大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TN915.853;TM73

【參考文獻】

相關期刊論文 前10條

1 王姣;范科峰;莫瑋;;基于模糊集和DS證據(jù)理論的信息安全風險評估方法[J];計算機應用研究;2017年11期

2 劉滌塵;冀星沛;陳果;王波;魏大千;;基于復雜網絡理論的電力通信網加邊保護策略[J];電力自動化設備;2016年10期

3 湯奕;陳倩;李夢雅;王琦;倪明;梁云;;電力信息物理融合系統(tǒng)環(huán)境中的網絡攻擊研究綜述[J];電力系統(tǒng)自動化;2016年17期

4 郭嘉;韓宇奇;郭創(chuàng)新;李大虎;孫建波;;考慮監(jiān)視與控制功能的電網信息物理系統(tǒng)可靠性評估[J];中國電機工程學報;2016年08期

5 李中偉;佟為明;金顯吉;;智能電網信息安全防御體系與信息安全測試系統(tǒng)構建 烏克蘭和以色列國家電網遭受網絡攻擊事件的思考與啟示[J];電力系統(tǒng)自動化;2016年08期

6 童曉陽;王曉茹;;烏克蘭停電事件引起的網絡攻擊與電網信息安全防范思考[J];電力系統(tǒng)自動化;2016年07期

7 曾鳴;楊雍琦;李源非;曾博;程俊;白學祥;;能源互聯(lián)網背景下新能源電力系統(tǒng)運營模式及關鍵技術初探[J];中國電機工程學報;2016年03期

8 郭慶來;辛蜀駿;王劍輝;孫宏斌;;由烏克蘭停電事件看信息能源系統(tǒng)綜合安全評估[J];電力系統(tǒng)自動化;2016年05期

9 湯奕;王琦;倪明;梁云;;電力信息物理融合系統(tǒng)中的網絡攻擊分析[J];電力系統(tǒng)自動化;2016年06期

10 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

相關博士學位論文 前1條

1 葉夏明;電力信息物理系統(tǒng)通信網絡性能分析及網絡安全評估[D];浙江大學;2015年

相關碩士學位論文 前3條

1 曲鐘陽;基于德爾菲法的技術預見[D];大連理工大學;2013年

2 秦永剛;基于模糊積分的電力建設工程項目安全管理評價研究[D];華北電力大學;2012年

3 耿新;電力信息網絡風險分析與量化評估研究[D];華北電力大學（河北）;2010年

，

本文編號：2014493