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    • 2. 发明公开
    • METHOD FOR CONTROLLING AUTOMATIC IDENTIFICATION OF APPLICATION NETWORK TOPOLOGY BY POWER DISTRIBUTION NETWORK
    • 一种用于控制应用网络布局的自动鉴别供电网络
    • EP3010114A1
    • 2016-04-20
    • EP14810432.6
    • 2014-04-19
    • Shandong University Of TechnologyShandong Kehui Power Automation Co., Ltd
    • XU, BingyinWANG, Jinghua
    • H02J13/00
    • G05F1/66G05B15/02G06F17/30371G06F17/3051G06F17/30864H02J13/00H04L41/12
    • The present invention relates to a method for automatic identification of an application network topology for power distribution network control which belongs to the field of electric power automation. The method comprises the following steps: 1. statically configuring attributes of a switch; 2. determining, by a power distribution network smart terminal (STU), whether a query trigger condition is satisfied; 3. sending, by an inquirer, a query command to initiate the query into an application network topology; 4. replying to the query command; 5. receiving the query command; 6. checking the integrity of the switch attribute information; and 7. forming an application network topology. The present method for automatic identification of an application network topology for a power distribution network control has few calculations and can be executed with high speed, ensures the integrity and reliability of information, and is particularly suitable for distributed intelligent control of the power distribution network. The establishment of the application network topology is distributed to each power distribution network smart terminal (STU), thus reducing heavy calculation, and is suitable for applications having relatively few embedded system software and hardware resources.
    • 本发明涉及一种用于一个应用程序的网络拓扑针对属于电力自动化领域配电网络控制的自动识别的方法。 该方法包括以下步骤:1.一个开关的静态配置属性; 2.确定,由配电网络智能终端(STU)是否触发条件的查询是满足; 3.发送,通过在查询者,查询命令,以启动查询分成上应用网络拓扑; 4.答复该查询命令; 5.在接收到查询命令; 6.检查开关的完整性属性信息; 和第七形成在应用网络的拓扑结构。 用于应用程序的网络拓扑用于配电网络的控制的自动识别本发明的方法具有少量计算,并且可以以高的速度执行,确保信息的完整性和可靠性,并且特别适合于配电网络的分布式智能控制。 网络拓扑应用的建立被分配给各个配电网络智能终端(STU),从而减少重计算,并且是适合于具有相对较少的嵌入式系统的软件和硬件资源的应用程序。