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電網(wǎng)拓?fù)涓?的翻譯結(jié)果

發(fā)布時(shí)間:2016-11-25 13:40

  本文關(guān)鍵詞:基于圖論與人工智能搜索技術(shù)的電網(wǎng)拓?fù)涓櫡椒?/strong>,由筆耕文化傳播整理發(fā)布。


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電網(wǎng)拓?fù)涓?

  • topology tracking of power network(0)
  • power network topology tracking(1)
  •   

         A Power Network Topology Tracking Method Based on Graph Theory and Artificial Intelligence Search Technique

         基于圖論與人工智能搜索技術(shù)的電網(wǎng)拓?fù)涓櫡椒?/strong>

    短句來源

      

         A Power Network Topology Tracking Method Based on Graph Theory and Artificial Intelligence Search Technique

         基于圖論與人工智能搜索技術(shù)的電網(wǎng)拓?fù)涓櫡椒?/strong>

    短句來源

         CIM Topology Analysis for Electric Power Networks

         CIM電網(wǎng)模型的拓?fù)浞治龇椒?

    短句來源

         TOPOLOGY IDENTIFICATION OF POWER NETWORK BASED ON INCIDENCE MATRIX

         基于關(guān)聯(lián)矩陣的電網(wǎng)拓?fù)浔孀R(shí)

    短句來源

         Frequency Estimation and Tracking for Harmonics Analysis of Power Systems

         電網(wǎng)諧波分析的頻率估計(jì)與跟蹤

    短句來源

         An Algorithm for Tracking Instantaneous Frequency of Power Grid

         電網(wǎng)瞬時(shí)頻率的一種跟蹤算法

    短句來源

    查詢“電網(wǎng)拓?fù)涓櫋弊g詞為用戶自定義的雙語例句
        我想查看譯文中含有:的雙語例句



    This paper first review the OO model for electrical topological expression in paper [1]. After that using the object - oriented analysis (OOA ) methodology analyze the fast tracking of station and electrical network topology. A crucial method - - the heuristic network partioning method are pro- posed that reduces the compution burden (computing time and storage requirement ) of search in depth and width and matrix calculation.

    本文首先回顧了文[1]基于面向?qū)ο螅ǎ希希┑碾娋W(wǎng)拓?fù)浔硎,接著用面向(qū)ο蟮乃枷敕椒▽?duì)廠站的拓?fù)涓櫤碗娋W(wǎng)的拓?fù)涓欉M(jìn)行了分析(OOA),并建立電網(wǎng)拓?fù)洌希夏P椭械年P(guān)鍵方法──啟發(fā)式網(wǎng)絡(luò)分區(qū)算法,該方法避免了用深度和廣度搜索及矩陣計(jì)算進(jìn)行網(wǎng)絡(luò)分區(qū)計(jì)算的計(jì)算量大或占用內(nèi)存多、計(jì)算時(shí)間長的缺點(diǎn)。

    A new method to fast trace power networktopology in which the graph theory is integrated with artificialsearch technique is proposed. In this method the node-breakerincidence matrix is used to express the topology inside thesubstation and through deducing node-breaker incidence matrixthe node adjacent matrix expressing the connectivity amongnodes is obtained and a node tree is constructed to represent theconnection of network nodes. Under real-time continuousoperation situation when switching event of circuit...

    A new method to fast trace power networktopology in which the graph theory is integrated with artificialsearch technique is proposed. In this method the node-breakerincidence matrix is used to express the topology inside thesubstation and through deducing node-breaker incidence matrixthe node adjacent matrix expressing the connectivity amongnodes is obtained and a node tree is constructed to represent theconnection of network nodes. Under real-time continuousoperation situation when switching event of circuit breakeroccurs, the proposed method can rapidly trace the topologychange within the substation by modifying the node adjacentmatrix and the nodes inside the substation are anew groupedand mapped as the nodes of power network, then usingheuristic search algorithm the former search tree are locallyupdated, thus the rapid tracking of local power network wherethe topology is changed is implemented. The test results of anactual power network show that the proposed method possessesversatility and real-time performance and can meet the need ofreal-time topological analysis of power network.

    提出一種將圖論與人工智能搜索技術(shù)相結(jié)合的快速電網(wǎng)拓?fù)涓櫡椒āT摲椒ú捎媒Y(jié)點(diǎn)–開關(guān)關(guān)聯(lián)矩陣表示站內(nèi)拓?fù)?通過推導(dǎo)結(jié)點(diǎn)–開關(guān)關(guān)聯(lián)矩陣得到表示結(jié)點(diǎn)間連通情況的結(jié)點(diǎn)鄰接矩陣,并構(gòu)建結(jié)點(diǎn)樹以表示電網(wǎng)中電氣結(jié)點(diǎn)的連通情況。在實(shí)時(shí)持續(xù)運(yùn)行環(huán)境下、電網(wǎng)發(fā)生開關(guān)開合事件時(shí),該方法通過修改結(jié)點(diǎn)的鄰接矩陣來快速跟蹤站內(nèi)拓?fù)涞淖兓?將站內(nèi)結(jié)點(diǎn)重新分組并映射為電網(wǎng)的結(jié)點(diǎn),然后采用啟發(fā)式搜索算法對(duì)原搜索樹進(jìn)行局部更新,從而實(shí)現(xiàn)對(duì)發(fā)生變化的局部電網(wǎng)拓?fù)涞目焖俑。?duì)某實(shí)際電網(wǎng)進(jìn)行的測試結(jié)果表明,該方法具有良好的通用性和實(shí)時(shí)性,可滿足系統(tǒng)對(duì)電網(wǎng)實(shí)時(shí)拓?fù)浞治龅囊蟆?/p>

     

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      本文關(guān)鍵詞:基于圖論與人工智能搜索技術(shù)的電網(wǎng)拓?fù)涓櫡椒?/strong>,,由筆耕文化傳播整理發(fā)布。



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