文章基本信息

标题：Modeling and Parameter Estimation of Particle Swarm Optimization Algorithm for Smart Power Grid
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作者：He Tao ; Liang Zhidong ; Ye Xinquan 等
期刊名称：International Journal of Grid and Distributed Computing
印刷版ISSN：2005-4262
出版年度：2015
卷号：8
期号：6
页码：229-238
DOI：10.14257/ijgdc.2015.8.6.22
出版社：SERSC
摘要：This paper analysis the electric power communication network structure and performance requirements. To investigate the power communication backbone network and network power substation general way, and in electric power communication network delay, error rate, network bandwidth demand were analyzed. The for prevalent in electric power communication network is not a fully meshed network, explore artificially cobweb logic change principle and system method, artificial transform sheet mesh to the standard web, and making use of the cobweb, based on the characteristics of network fast routing. In order to better in the smart grid communication network using artificially cobweb routing algorithm, for the smart grid in the presence of irregular mesh network, this paper presents a kind of the mesh network into logical artificially cobweb network general standardization method. The principle of combination of label switching, this paper presents artificially cobweb source routing algorithm, expounds the artificially cobweb routing algorithm of label switching and label update mechanism, and artificially cobweb routing algorithm balancing routing method and routing method is described in detail.
关键词：Nonstationary signal; Stable distribution; Time-frequency autoregressive; ; Time-frequency spectrum