基于改进旋转门算法的变电站数据压缩存储方法

doi:10.11930/j.issn.1004-9649.202203116

中国电力 ›› 2023, Vol. 56 ›› Issue (6): 202-208.DOI: 10.11930/j.issn.1004-9649.202203116

基于改进旋转门算法的变电站数据压缩存储方法

于洋¹, 章昊¹, 王同文¹, 汪伟¹, 边瑞恩², 罗念华³

1. 国网安徽省电力有限公司，安徽合肥 230022;
2. 上海交通大学电子信息与电气工程学院，上海 200240;
3. 南京南瑞继保电气有限公司，江苏南京 211102

收稿日期:2022-04-08 修回日期:2023-05-05 发布日期:2023-07-04
作者简介:于洋（1986—），男，通信作者，硕士，高级工程师，从事电力系统保护与控制研究，E-mail：yuy0@ah.sgcc.com.cn;章昊（1975—），男，高级工程师，从事电力系统自动化研究，E-mail：zhangh6314@ah.sgcc.com.cn;王同文（1981—），男，博士，高级工程师，从事电力系统自动化研究，E-mail：wangtw1259@ah.sgcc.com.cn;汪伟（1985—），男，硕士，高级工程师，从事电力系统自动化研究，E-mail：wangw2038@ah.sgcc.com.cn
基金资助:
国家自然科学基金资助项目（51877136）。

Substation Data Compression and Storage Method Based on Improved Revolving Door Algorithm

YU Yang¹, ZHANG Hao¹, WANG Tongwen¹, WANG Wei¹, BIAN Ruien², LUO Nianhua³

1. State Grid Anhui Electric Power Co., Ltd., Hefei 230022, China;
2. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;
3. NR Electric Co., Ltd., Nanjing 211102, China

Received:2022-04-08 Revised:2023-05-05 Published:2023-07-04
Supported by:
This work is supported by National Natural Science Foundation of China (No.51877136).

摘要/Abstract

摘要： 为解决变电站数据采集与监视控制（supervisory control and data acquisition，SCADA）系统接入海量数据引发的数据存储问题，提出一种基于改进旋转门算法的变电站数据压缩存储方法。首先介绍了旋转门有损压缩算法，针对存储频率固定、门限值固定、忽视异常点等缺点，分别提出自适应变频数据存储策略、动态调整门限值策略和异常点记录策略以提高算法精度。其次，针对变电站SCADA系统遥信、遥控、遥调数据采用变位存储方法，遥测数据采用改进旋转门算法。最后，通过算例验证了所提方法的有效性。

关键词: 旋转门算法, 数据压缩, 算法改进, SCADA系统

Abstract: In order to solve the data storage problem caused by the access of the substation supervisory control and data acquisition (SCADA) system to the data storage problem, a substation data compression and storage method based on the improved revolving door algorithm is proposed. Firstly, the lossy compression algorithm of the revolving gate is introduced, and in view of the shortcomings of fixed storage frequency, fixed threshold value and ignored abnormal points, the adaptive frequency conversion data storage strategy, the dynamic adjustment threshold value strategy and the abnormal point recording strategy are proposed to improve the accuracy of the algorithm. Secondly, the variable position storage method is adopted for the remote message, remote control and remote adjustment data of the SCADA system of the substation, and the improved revolving door algorithm is adopted for the telemetry data. Finally, the effectiveness of the proposed method was verified through numerical examples.

Key words: revolving door algorithm, data compression, algorithm improvement, SCADA system

于洋, 章昊, 王同文, 汪伟, 边瑞恩, 罗念华. 基于改进旋转门算法的变电站数据压缩存储方法[J]. 中国电力, 2023, 56(6): 202-208.

YU Yang, ZHANG Hao, WANG Tongwen, WANG Wei, BIAN Ruien, LUO Nianhua. Substation Data Compression and Storage Method Based on Improved Revolving Door Algorithm[J]. Electric Power, 2023, 56(6): 202-208.

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https://www.electricpower.com.cn/CN/Y2023/V56/I6/202

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基于改进旋转门算法的变电站数据压缩存储方法

Substation Data Compression and Storage Method Based on Improved Revolving Door Algorithm

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基于改进旋转门算法的变电站数据压缩存储方法

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