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基于分布式技术的用电信息采集主站系统设计与应用
引用本文:钱奇,闫海峰,唐伟宁,覃华勤,马先芹.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.
作者姓名:钱奇  闫海峰  唐伟宁  覃华勤  马先芹
作者单位: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;北京科东电力控制系统有限责任公司,北京市 100192;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
基金项目:国家电网有限公司科技项目(5400-202027212A-0-0-00)。
摘    要: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.

关 键 词:分布式技术  消息队列  任务调度  采集主站系统  高频实时采集
收稿时间:2021/5/27 0:00:00
修稿时间:2021/7/4 0:00:00

Distributed Technology Based Design and Application of Master Station System for Power Consumption Information Acquisition
QIAN Qi,YAN Haifeng,TANG Weining,QIN Huaqin,MA Xianqin.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.
Authors:QIAN Qi  YAN Haifeng  TANG Weining  QIN Huaqin  MA Xianqin
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;3.Electric Power Research Institute of State Grid Jilin Electric Power Co., Ltd., Changchun 130022, China
Abstract: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.
Keywords:distributed technology  message queue  task scheduling  acquisition master station system  high-frequency real-time acquisition
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