首页 > 过刊浏览>2019年第38卷第6期 >9-15. DOI:10.12158/j.2096-3203.2019.06.002
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基于泛在电力物联网的换流站在线监测系统优化综述
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TM734


Optimization survey of online monitoring system for converter station based on ubiquitous power IoT
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    摘要:

    为解决当前换流站在线监测系统在运行中存在的可靠性、安全性以及误告警频发等问题，文中基于泛在电力物联网技术对系统进行优化重构。首先，通过构建平台层，将系统接入物联管理平台以及数据中台，实现数据的融通共享，减轻云端存储压力，提升服务响应。其次，设计基于边缘计算的物联智能终端，实现站内设备的安全接入和泛在物联，该装置作为边缘计算节点通过集成深度学习算法，实现站端数据的采集存储、计算分析与异常识别，提高了告警的准确性和系统运行的可靠性。因此，基于泛在电力物联网的换流站在线监测系统架构优化为后续工程实践提供了一种新的建设应用模式。

    Abstract:

    In order to solve the problems of reliability, safety and frequent false alarms in the current operation of the online monitoring system of converter station, a system based on the ubiquitous power IoT advanced technology is reconstructed in this paper.By constructing the platform layer, the system is connected to the IoT management platform and the enterprise mid-station, which realizes the fusion sharing of DC device operation data, reduces the cloud data storage pressure and improves the system service response.Secondly, the intelligent terminal based on the edge computing framework to realize the safe access and ubiquitous connection of various online monitoring devices is designed.The device is deployed as an edge computing node, integrating the algorithm of deep learning to realize the station-side data acquisition, storage, analysis and anomaly identification, which improves the accuracy of the alarm and system operation reliability.Therefore, the optimization of the online monitoring system architecture of the converter station based on the ubiquitous power IoT provides a typical application model for subsequent engineering practice.

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吕继伟.基于泛在电力物联网的换流站在线监测系统优化综述[J].电力工程技术,2019,38(6):9-15

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  • 收稿日期:2019-05-29
  • 最后修改日期:2019-07-01
  • 录用日期:2019-10-21
  • 在线发布日期: 2019-11-28
  • 出版日期: 2019-11-28
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