智能变电站工程配置镜像管控技术研究
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李肖博(1985-),男,硕士,高级工程师,主要从事微机继电保护、变电站综合自动化以及电力系统继电保护方面的研究;E-mail:jiangzhuoyan@kemov.com

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TM932

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中国南方电网公司科技项目(GXKJXM20190610);国家重点研发计划(2020YFB0906000)


Research on mirror image control technology of project configuration in the intelligent substation
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    摘要:

    针对智能变电站配置文件在多端应用中版本不统一、配置文件管控中归档的配置文件与变电站现场装置内运行的配置一致性无法保证、配置文件现场调试工作量大影响电网运行等问题,提出一种智能变电站工程配置的镜像管控技术。首先,设计适用于多端应用的智能变电站工程配置镜像管控系统,并建立智能变电站工程配置文件全过程管理流程;然后,基于循环神经网络算法与马尔科夫聚类算法进行智能变电站工程配置校验比对,基于搭建的系统进行智能变电站工程配置文件镜像调试;最后,以某变电站改扩建工程为例,采用所提方法时可减少改扩建现场传动,缩小停电周期和范围。

    Abstract:

    The project configuration file in the intelligent substation has multi versions in multi-terminal applications and it brings problems that the archive configuration file might be different with that running set in the on-site intelligent substation. It has negative impacts on the power system operation since a lot of time is necessary for the revision of file setting. On the background, a mirror image management and control technology for smart substation engineering configuration is proposed in this paper. Firstly, a mirror management and control system for smart substation project configuration is designed and it is suitable for multi-terminal applications. And then, a whole process management process of smart substation engineering configuration files is established. Secondly, the intelligent substation engineering configuration verification and comparison are carried out utilizing the cyclic neural network algorithm and the Markov clustering algorithm. Thirdly, the image debugging is run for the intelligent substation engineering configuration file. Finally, a substation reconstruction and expansion project is included to verify that the proposed method can reduce the on-site transmission of reconstruction and expansion, and reduce the period and scope of power outages.

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李肖博,习伟,周柯,等.智能变电站工程配置镜像管控技术研究[J].电力科学与技术学报,2022,37(4):209-216.
Li Xiaobo, Xi Wei, Zhou Ke, et al. Research on mirror image control technology of project configuration in the intelligent substation[J]. Journal of Electric Power Science and Technology,2022,37(4):209-216.

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  • 在线发布日期: 2022-09-23
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