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基于电力调度数据网的广域数据采集方案
作者:
作者单位:

1. 南瑞集团有限公司(国网电力科学研究院有限公司), 江苏省南京市 211106; 2. 北京科东电力控制系统有限责任公司, 北京市 100192

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基金项目:

国家电网公司专项资助项目(5206001600A3)


Wide-area Data Acquisition Scheme Based on Power Dispatching Data Network
Author:
Affiliation:

1. NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 211106, China; 2. Beijing Kedong Electric Power Control System Co. Ltd., Beijing 100192, China

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    摘要:

    在智能电网中,各级电网调控系统间业务相互协作、数据互联互通的需求与日俱增,而当前多调控系统间采用规约通信的数据转发技术存在时延长、维护复杂等弊端,迫切需要一种更高效、便捷的广域实时数据传输方式。基于现状,分析了现有数据采集模式的局限性,提出一种基于电力调度数据网的广域数据采集方案。讨论了广域数据采集框架及网络构成,深入研究了广域环境下的数据订阅机制、数据发布技术和数据采集代理方法。经过实验验证,广域数据采集能够增强各级电网调控系统之间的联系,提供更高效的广域数据交互手段,提高数据传输效率和系统易用性。

    Abstract:

    In the smart grid, the requirement for business collaboration and exchange of data between multiple grid dispatching and control systems is increasing. But the problems such as prolonged and difficult maintenance exist in the practice of data forwarding based on protocol transmission method between multiple grid dispatching and control systems. There is a pressing need for a more efficient and convenient wide-area real-time data transmission mode. On this basis, the limitations of current data acquisition mode are analyzed. A wide-area data acquisition scheme based on power dispatching data network is proposed. The wide-area data acquisition frame and network structure are discussed. The data subscription mechanism, data issuing technology and data acquisition agent method in the wide-area environment are deeply studied. After experimental verification, the wide-area data acquisition can enhance the connection between multiple grid dispatching and control systems, provide more efficient wide-area data interactive means, and improve data transmission efficiency and system usability.

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引用本文

杜鹏,晏亮,高保成,等.基于电力调度数据网的广域数据采集方案[J].电力系统自动化,2019,43(13):156-161. DOI:10.7500/AEPS20180608006.
DU Peng, YAN Liang, GAO Baocheng,et al.Wide-area Data Acquisition Scheme Based on Power Dispatching Data Network[J].Automation of Electric Power Systems,2019,43(13):156-161. DOI:10.7500/AEPS20180608006.

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历史
  • 收稿日期:2018-06-08
  • 最后修改日期:2019-01-25
  • 录用日期:2018-12-07
  • 在线发布日期: 2019-01-23
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