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基于公共信息模型的“组团式”电网结构在线自动识别

A CIM based approach for on-line automatic structure identification of group power networks
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摘要 电网结构识别就是通过快速遍历电网拓扑结构获取电网结构类型(环网/辐射网)、节点平均度、内部联络线数量等结构信息。为满足调度权下放这种新形势下的快速、精确识别"组团式"电网结构的需求,对IEC 61970电力系统公共信息模型(Common Information Model,缩写为CIM)进行了适当的扩展,并运用节点融合技术的思想构建了节点/支路模型。在该模型的基础上,运用深度优先搜索(DFS)和广度优先搜索(BFS)算法实现了"组团式"电网结构的自动识别。之后,以XML文件为底层载体,采用面向对象的程序设计方法开发了基于CIM的"组团式"电网结构在线自动识别软件系统。最后,用广东省实际电力系统的测试结果验证了所发展的软件系统的有效性。 The network structure identification was used to attain the information associated with network stmctur(as, including the structure type (loop or radial networks), the bus average degree, the number of internal tic lines and so on, by employing the fast traversal technology. An IEC 61970 based extended CIM Node/Branch model for group networks was developed to meet the requirement of rapid and accurate network structure identification, with the application of the node - merging technology. Based on this model, both the well - established breadth - first search (BFS) and depth- first search (DFS) algorithms were utilized for the structure identification. With the object oriented programming method, a software system was next developed for the on- line automatic structure identification of group networks with the XML file as the bottom carrier. Finally, the Guangdong actual power system was employed to demonstrate the efficiency of the developed model and software system.
出处 《华北电力大学学报(自然科学版)》 CAS 北大核心 2010年第2期8-14,共7页 Journal of North China Electric Power University:Natural Science Edition
基金 国家科技支撑计划资助项目(2008BAA13B10)
关键词 “组团式”电网 CIM扩展 电网分区 结构自动识别 group network CIM extension network partitioning automatic structure identification
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