【摘要】：配電網(wǎng)信息物理系統(tǒng)(cyber physical system for distribution networks,CPSDN)是自動化技術(shù)、信息技術(shù)和通信技術(shù)與電網(wǎng)的深度融合產(chǎn)物。其與傳統(tǒng)通信系統(tǒng)規(guī)劃的一個顯著區(qū)別在于CPS系統(tǒng)內(nèi)的網(wǎng)元異構(gòu)性�；跀�(shù)據(jù)場理論,建立了CPS廣義節(jié)點質(zhì)量模型,數(shù)學量化了節(jié)點差異,進而定義CPS勢函數(shù),以系統(tǒng)可靠性為測度建立配電網(wǎng)CPS規(guī)劃問題的勢均衡數(shù)學模型。對該規(guī)劃問題,提出改進的二進制粒子群算法進行求解。采用IEEE LVNTS算例及實際電網(wǎng)算例計算,實驗表明所建立模型和算法符合配電網(wǎng)CPS系統(tǒng)規(guī)劃,所提出方法規(guī)劃CPS網(wǎng)絡,可準確辨識網(wǎng)絡關鍵節(jié)點,建立高可靠性CPS網(wǎng)絡拓撲,實現(xiàn)效能的提升。
[Abstract]:Distribution network information physical system (cyber physical system for distribution networks,CPSDN) is the product of deep integration of automation technology, information technology and communication technology and power grid. A significant difference from traditional communication system planning is the heterogeneity of network elements in CPS systems. Based on the data field theory, the CPS generalized node quality model is established. The node difference is quantified, and then the CPS potential function is defined. The potential equilibrium mathematical model of distribution network CPS planning problem is established with the system reliability as the measure. An improved binary particle swarm optimization algorithm is proposed to solve the problem. By using the IEEE LVNTS example and the actual network example, the experimental results show that the proposed model and algorithm accord with the distribution network CPS system planning. The proposed method can accurately identify the key nodes of the network and establish the high reliability CPS network topology. To realize the improvement of efficiency.
【作者單位】： 天津大學電氣自動化與信息工程學院;
【基金】：國家高技術(shù)研究發(fā)展計劃(863計劃)(2015AA050202) 國家自然科學基金資助項目(61571324) 天津市自然科學基金資助重點項目(16JCZDJC30900) 國際科技合作專項項目資助(2013DFA11040)~~
【分類號】：TM715

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