本文關鍵詞：基于圖論與人工智能搜索技術的電網(wǎng)拓撲跟蹤方法，由筆耕文化傳播整理發(fā)布。

 在分類學科中查詢

所有學科

電力工業(yè)

電網(wǎng)拓撲跟蹤

     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的電網(wǎng)拓撲跟蹤方法

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的電網(wǎng)拓撲跟蹤方法

短句來源

     CIM Topology Analysis for Electric Power Networks

     CIM電網(wǎng)模型的拓撲分析方法

短句來源

     TOPOLOGY IDENTIFICATION OF POWER NETWORK BASED ON INCIDENCE MATRIX

     基于關聯(lián)矩陣的電網(wǎng)拓撲辨識

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與跟蹤

短句來源

     An Algorithm for Tracking Instantaneous Frequency of Power Grid

     電網(wǎng)瞬時頻率的一種跟蹤算法

短句來源

查詢“電網(wǎng)拓撲跟蹤”譯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］基于面向對象（ＯＯ）的電網(wǎng)拓撲表示，接著用面向對象的思想方法對廠站的拓撲跟蹤和電網(wǎng)的拓撲跟蹤進行了分析（ＯＯＡ），并建立電網(wǎng)拓撲ＯＯ模型中的關鍵方法──啟發(fā)式網(wǎng)絡分區(qū)算法，該方法避免了用深度和廣度搜索及矩陣計算進行網(wǎng)絡分區(qū)計算的計算量大或占用內存多、計算時間長的缺點。

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相結合的快速電網(wǎng)拓撲跟蹤方法。該方法采用結點–開關關聯(lián)矩陣表示站內拓撲,通過推導結點–開關關聯(lián)矩陣得到表示結點間連通情況的結點鄰接矩陣,并構建結點樹以表示電網(wǎng)中電氣結點的連通情況。在實時持續(xù)運行環(huán)境下、電網(wǎng)發(fā)生開關開合事件時,該方法通過修改結點的鄰接矩陣來快速跟蹤站內拓撲的變化,將站內結點重新分組并映射為電網(wǎng)的結點,然后采用啟發(fā)式搜索算法對原搜索樹進行局部更新,從而實現(xiàn)對發(fā)生變化的局部電網(wǎng)拓撲的快速跟蹤。對某實際電網(wǎng)進行的測試結果表明,該方法具有良好的通用性和實時性,可滿足系統(tǒng)對電網(wǎng)實時拓撲分析的要求。

 相關查詢

CNKI小工具

在英文學術搜索中查有關電網(wǎng)拓撲跟蹤的內容

在知識搜索中查有關電網(wǎng)拓撲跟蹤的內容

在數(shù)字搜索中查有關電網(wǎng)拓撲跟蹤的內容

在概念知識元中查有關電網(wǎng)拓撲跟蹤的內容

在學術趨勢中查有關電網(wǎng)拓撲跟蹤的內容

  本文關鍵詞：基于圖論與人工智能搜索技術的電網(wǎng)拓撲跟蹤方法，，由筆耕文化傳播整理發(fā)布。