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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
3.国网吉林省电力有限公司电力科学研究院,吉林省长春市 130022
钱奇(1972—),男,硕士,高级工程师,主要研究方向:电力营销自动化。E-mail:qianqi@sgepri.sgcc.com.cn
闫海峰(1984—),男,硕士,工程师,主要研究方向:电力营销自动化。E-mail:yanhaifeng_kd@163.com
唐伟宁(1982—),男,硕士,高级工程师,主要研究方向:电能计量生产管理。E-mail:15843124567@163.com
马先芹(1986—),女,通信作者,硕士,工程师,主要研究方向:电力营销自动化。E-mail:wlxmaxianqin@126.com
收稿日期:2021-05-27,
修回日期:2021-07-04,
网络出版日期:2021-10-20,
纸质出版日期:2021-12-10
移动端阅览
钱奇,闫海峰,唐伟宁等.基于分布式技术的用电信息采集主站系统设计与应用[J].电力系统自动化,2021,45(23):170-178.
QIAN Qi,YAN Haifeng,TANG Weining,et al.Distributed Technology Based Design and Application of Master Station System for Power Consumption Information Acquisition[J].Automation of Electric Power Systems,2021,45(23):170-178.
钱奇,闫海峰,唐伟宁等.基于分布式技术的用电信息采集主站系统设计与应用[J].电力系统自动化,2021,45(23):170-178. DOI: 10.7500/AEPS20210527001.
QIAN Qi,YAN Haifeng,TANG Weining,et al.Distributed Technology Based Design and Application of Master Station System for Power Consumption Information Acquisition[J].Automation of Electric Power Systems,2021,45(23):170-178. DOI: 10.7500/AEPS20210527001.
随着用户侧数据采集设备的发展及电网业务对用户侧采集数据的深化应用,当前电力用户用电信息采集主站系统在数据采集、计算、入库等方面出现瓶颈,无法满足业务快速发展的需求。针对营销数字化转型发展的需要,基于分布式架构、异步网络、并行计算与分布式存储等技术,文中提出一种具有高频实时采集特征的主站系统技术方案,在采集通信层、任务调度层、分布式存储层及并行计算层4个层面全面解决高频并发交互、复杂任务调度、海量数据存储及实时计算的效率问题。通过中国某省级工程应用表明,所提出的方案可显著提升用电信息采集主站的采集能力,改善集中式采集主站性能。
With the development of user-side data acquisition equipment and the intensified application of power grid business to user-side acquisition data
the current main station system for user power consumption information acquisition has bottlenecks in the aspects of data acquisition
calculation and storage
which cannot meet the demands of rapid business development. In order to meet the demands of marketing digital transformation and development
based on the distributed architecture
asynchronous network
parallel computing and distributed storage technology
this paper proposes a technical scheme of master station system with high-frequency real-time acquisition characteristics. This scheme comprehensively solves the efficiency problems of high-frequency concurrent interaction
complex task scheduling
massive data storage and real-time computing in the four levels of collection and communication layer
task scheduling layer
distributed storage layer and parallel computing layer. The application of a provincial project in China shows that the proposed scheme can significantly improve the acquisition capacity of the master station for power consumption information acquisition
and improve the performance of centralized acquisition master station.
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