[1]段雄英,肖臣臣,赵洋洋,等.基于Hadoop平台的特高压断路器动作时间预测研究[J].高压电器,2020,56(07):56-62.[doi:10.13296/j.1001-1609.hva.2020.07.009]
 DUAN Xiongying,XIAO Chenchen,ZHAO Yangyang,et al.Research on Actuation Time Forecasting of UHV Circuit Breaker Based on Hadoop Platform[J].High Voltage Apparatus,2020,56(07):56-62.[doi:10.13296/j.1001-1609.hva.2020.07.009]
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基于Hadoop平台的特高压断路器动作时间预测研究()
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《高压电器》[ISSN:1001-1609/CN:61-11271/TM]

卷:
第56卷
期数:
2020年07期
页码:
56-62
栏目:
研究与分析
出版日期:
2020-07-20

文章信息/Info

Title:
Research on Actuation Time Forecasting of UHV Circuit Breaker Based on Hadoop Platform
作者:
段雄英1 肖臣臣1 赵洋洋1 刘洪正2 井雨刚2 李 宽2
(1. 大连理工大学电气工程学院, 辽宁 大连 116024; 2. 国网山东省电力公司电力科学研究院, 济南 250000)
Author(s):
DUAN Xiongying 1 XIAO Chenchen1 ZHAO Yangyang1 LIU Hongzheng2 JING Yugang2 LI Kuan2
(1. College of Electrical Engineering, Dalian University of Technology, Liaoning Dalian 116024, China; 2. State Grid Shandong Electric Power Research Institute, Jinan 250000, China)
关键词:
液压机构 分布式平台 动作时间 多元线性分析
Keywords:
hydraulic mechanism distributed platform actuation time multivariate linear analysis
DOI:
10.13296/j.1001-1609.hva.2020.07.009
摘要:
特高压断路器的操动时间具有较大的分散性,影响因素众多不利于断路器选相的实现,大数据技术在数据处理上具有高效性。文中对碟簧液压操动机构原理进行分析,收集大量的1 100 kV小型GIS断路器实验数据,采用Hadoop软件,设计并搭建了含有数据采集、数据分析和数据处理3大功能的离线分布式处理平台,在平台上通过eclipse进行编程实现了多元线性分析,获得了通过控制电压和油压等影响因素预测断路器动作时间的数学模型。进一步对模型进行优化,结果表明:平台具有高效性、高可靠性,可以通过初始影响因素有效预测断路器的动作时间。从预测结果分析来看,优化后的模型与优化前误差率明显降低,优化后对应的误差范围在±0.8 ms以内,验证了模型的有效性。该研究为电网大数据分析和输变电设备稳定运行提供一定的参考价值。
Abstract:
The actuation time of UHV circuit breakers has a great dispersion, many influencing factors are not conducive to the realization of circuit breaker phase selection and big data technology has high efficiency in data processing. The principle of the disc spring hydraulic operating mechanisms is analyzed and a lot of experimental data about the 1 100 kV miniature GIS circuit breaker are collected. The offline distributed processing platform containing three major functions of data acquisition, data analysis and data processing is designed and built by Hadoop software. By using eclipse to program on the platform, the multivariate linear analysis method is realized and the forecasting actuation time of breaker mathematical model based on control voltage and oil pressure is obtained and the model is further optimized. It is shown that the action time of breaker can be effectively predicted by initial influencing factors under the condition of high efficiency and high reliability of the platform. From the analysis of the prediction results, the error rate in the optimized model is significantly reduced than the previous one and the corresponding error range within ±0.8 ms, which verifies the effectiveness of the model. This paper provides some reference value for the grid big data analysis and the stable operation of power transmission and transformation equipment.

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备注/Memo

备注/Memo:
收稿日期:2020-01-09; 修回日期:2020-03-25 基金项目:国家电网公司总部科技项目(SGTYHT/17-JS-201)。 Project Supported by State Grid of China Science and Technology Projects(SGTYHT/17-JS-201).段雄英(1974—),女,博士,教授,博导,主要从事智能开关电器理论及应用、电力设备在线检测与绝缘诊断等方面的研究工作。 肖臣臣(1995—),男,硕士,主要大数据技术在电力系统和智能电器应用方面的研究。
更新日期/Last Update: 2020-07-25