特高压阀侧套管数字孪生系统集成设计方法

doi:10.11930/j.issn.1004-9649.202402076

摘要/Abstract

摘要：

提出了一种数字孪生系统的集成设计方法，以满足真实工况下的实际应用。首先，分析了阀侧套管数字孪生系统的功能需求并构建了数字孪生系统框架结构；其次，基于系统框架结构的功能模块设计研发了对应的实现方法；最后，用一起阀侧套管数字孪生系统的应用对该方法进行了展示和验证。所提方法为数字孪生系统的实际应用提供了一种设计思路，可以为电网的数字化转型提供实用而有效的解决方案。

关键词: 特高压阀侧套管, 电力设备, 数字孪生, 系统集成

Abstract:

An integrated design method of digital twin system is proposed to meet the practical application under real working conditions in this paper. Firstly, the functional requirements of the valve-side bushing digital twin system are analyzed. Based on these requirements, the framework of digital twin system is constructed. Secondly, the implementation methods corresponding to the digital twin system framework are designed and developed. Finally, the application of a valve-side bushing digital twin system is used to demonstrate and validate the proposed method. This method provides a design concept for the practical application of digital twin systems and can offer practical and effective solutions for the digital transformation of power grids.

Key words: ultra-high voltage converter transformer valve-side bushing, power equipment, digital twin system, system integration

何永胜, 罗丹, 鲁宗相. 特高压阀侧套管数字孪生系统集成设计方法[J]. 中国电力, 2024, 57(6): 165-173.

Yongsheng HE, Dan LUO, Zongxiang LU. Integration of Digital Twin Model System for Ultra-high Voltage Converter Transformer Valve-Side Bushing[J]. Electric Power, 2024, 57(6): 165-173.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202402076

https://www.electricpower.com.cn/CN/Y2024/V57/I6/165

图/表 17

图 1 数字孪生系统结构框架

Fig.1 Digital twin system architecture framework

图 2 数据接口模块原理

Fig.2 Principle of data interface module

图 3 数据传输模块原理

Fig.3 Principle of data transmission module

图 4 物理场计算模块原理

Fig.4 Physics field calculation module principle

图 5 两种孪生模型可视化显示方式

Fig.5 Two kinds of visual display of twin models

图 6 数字孪生系统总体技术架构

Fig.6 Overall technical architecture of digital twin system

图 7 换流变实景

Fig.7 Converter transformer physical diagram

图 8 MQTT传输模型

Fig.8 Transport model of MQTT

表 1 IoT-Gateway的核心报文字段

Table 1 Core packet field of IoT-Gateway

字段	字段名称	类型	备注
timestamp	时间戳	long	GMT UTC格林威治时间
messageId	消息ID	string
version	版本号	string	当前版本号
devices	数据主体	array/string
deviceId	子设备ID	string	一个网关下多个子设备ID不能相同
deviceState	子设备通信状态	0 or 1	0为通信失败，1为通信成功
deviceData	子设备数据	object	子设备数据包

图 9 物理场计算模型流程

Fig.9 Physical field calculation model flow

图 10 阀侧套管总体模型

Fig.10 General model of valve side bushing

表 2 阀侧套管模型各部位材料参数

Table 2 Material parameters of valve side bushing model

套管部位	材料名称	电导率/(s·m^–1)	相对介电常数
中心导体	铜	5.8×10⁷	1.0
各层极板	油纸	1×10^–12	4.0
绝缘介质	SF₆	0	4.0
外护套	环氧树脂	1×10^–12	4.0
冷却介质	变压器油	1×10^–12	2.2

图 11 阀侧套管油纸材料非线性温度场分布

Fig.11 Nonlinear temperature field distribution of valve side bushing oil paper material

图 12 基于WebGL协议的数字孪生可视化设计方法

Fig.12 Digital twin visual design method based on WebGL protocol

图 13 换流变压器整体可视化显示

Fig.13 Visual display of rheological valve side bushing and transformer

图 14 阀侧套管数字孪生模型显示

Fig.14 Valve side bushing multi-component display

图 15 阀侧套管数字孪生模型拆解显示

Fig.15 Valve side bushing multi-component disassembly display

参考文献 25

1	朱佳, 王峰, 李一泉, 等. 基于Tanimoto相似度的变压器零序差动保护约束方案[J]. 中国电力, 2023, 56 (8): 193- 199.
	ZHU Jia, WANG Feng, LI Yiquan, et al. Restraint scheme of transformer zero sequence differential protection based on tanimoto similarity[J]. Electric Power, 2023, 56 (8): 193- 199.
2	张书鑫, 赵若凡, 刘鸿鹏. 模块化高压大容量DC/DC变换器综述[J]. 东北电力大学学报, 2024, 44 (1): 52- 60.
	ZHANG Shuxin, ZHAO Ruofan, LIU Hongpeng. Review of modular high voltage and large capacity DC/DC converter[J]. Journal of Northeast Electric Power University, 2024, 44 (1): 52- 60.
3	韩伟, 段文岩, 杜兴伟, 等. 基于数字孪生的在运安控系统故障诊断方法[J]. 中国电力, 2023, 56 (11): 121- 127.
	HAN Wei, DUAN Wenyan, DU Xingwei, et al. Fault diagnosis method for operational security control system based on digital twins[J]. Electric Power, 2023, 56 (11): 121- 127.
4	朱金涛, 辛业春. 柔性高压直流输电仿真技术研究方法综述[J]. 智慧电力, 2021, 49 (3): 1- 11, 94. DOI
	ZHU Jintao, XIN Yechun. Review of research on simulation methods of VSC-HVDC transmission system[J]. Smart Power, 2021, 49 (3): 1- 11, 94. DOI
5	刘曌, 孙庆凯, 许泽凯, 等. 能源互联网中的数字孪生技术体系、应用与挑战[J]. 中国电力, 2024, 57 (1): 230- 243.
	LIU Zhao, SUN Qingkai, XU Zekai, et al. System, applications and challenges of digital twin technology in energy Internet[J]. Electric Power, 2024, 57 (1): 230- 243.
6	郑含博, 敬佳兴, 罗晓庆, 等. 基于多源融合的油纸绝缘套管缺陷辨识及绝缘状态评估[J]. 电力系统保护与控制, 2023, 51 (20): 119- 128.
	ZHENG Hanbo, JING Jiaxing, LUO Xiaoqing, et al. Defect identification and insulation condition assessment of an oil-immersed paper insulation bushing based on multi-source fusion[J]. Power System Protection and Control, 2023, 51 (20): 119- 128.
7	邓祥力, 廖玥琳, 朱宏业, 等. 基于数字孪生模型电流动态时间规整差异度的变压器早期故障辨识[J]. 电力系统保护与控制, 2023, 51 (12): 156- 167.
	DENG Xiangli, LIAO Yuelin, ZHU Hongye, et al. Early fault identification for a transformer based on current dynamic time warping difference of a digital twin model[J]. Power System Protection and Control, 2023, 51 (12): 156- 167.
8	金恩淑, 刘丹阳, 夏国武. 特高压换流变压器差动保护适用性分析及其改进方法[J]. 东北电力大学学报, 2023, 43 (1): 20- 28.
	JIN Enshu, LIU Danyang, XIA Guowu. Applicability analysis and improvement method of differential protection of converter transformer in UHVDC system[J]. Journal of Northeast Electric Power University, 2023, 43 (1): 20- 28.
9	胡存刚, 王海涛, 朱文杰, 等. 三相逆变器数字孪生系统的参数辨识研究[J]. 电力系统保护与控制, 2023, 51 (11): 177- 187.
	HU Cungang, WANG Haitao, ZHU Wenjie, et al. Parameter identification of three-phase inverters based on a digital twin system[J]. Power System Protection and Control, 2023, 51 (11): 177- 187.
10	张施令, 彭宗仁, 程建伟, 等. 基于三维构型与电热传感的特高压换流变压器出线装置区域数字孪生模型研究[J]. 高压电器, 2022, 58 (7): 128- 140.
	ZHANG Shiling, PENG Zongren, CHENG Jianwei, et al. Research on digital twin model of outgoing-line device area of uhv converter transformer based on three-dimensional configuration and Electro-thermal sensing[J]. High Voltage Apparatus, 2022, 58 (7): 128- 140.
11	范世源, 王超, 向鑫, 等. 中高压直流变压器拓扑综述[J]. 东北电力大学学报, 2022, 42 (5): 15- 24.
	FAN Shiyuan, WANG Chao, XIANG Xin, et al. TopologyReview of medium-high voltage DC transformers[J]. Journal of Northeast Electric Power University, 2022, 42 (5): 15- 24.
12	刘利强, 尹彦博, 齐咏生, 等. 一种多模型融合的风电系统永磁同步发电机数字孪生建模方法[J]. 电机与控制学报, 2023, 27 (11): 149- 162.
	LIU Liqiang, YIN Yanbo, QI Yongsheng, et al. Digital twin modeling method of wind power system permanent magnet synchronous generator based on multi model fusion[J]. Electric Machines and Control, 2023, 27 (11): 149- 162.
13	刘育权, 宋禹飞, 梁锦照, 等. 电力设备数字化标准一体化支撑智能制造[J]. 南方电网技术, 2022, 16 (12): 46- 53.
	LIU Yuquan, SONG Yufei, LIANG Jinzhao, et al. Digital standardization integration on power equipment for intelligent manufacturing[J]. Southern Power System Technology, 2022, 16 (12): 46- 53.
14	潘超, 赵彤, 蔡国伟, 等. 交直流混杂环境下三相变压器绕组电磁-振动特性[J]. 东北电力大学学报, 2023, 43 (1): 45- 54.
	PAN Chao, ZHAO Tong, CAI Guowei, et al. Electromagnetic vibration characteristics of three-phase transformer windings in AC/DC hybrid environment[J]. Journal of Northeast Electric Power University, 2023, 43 (1): 45- 54.
15	龙玉江, 姜超颖, 李洵, 等. 基于数字孪生的变压器多粒度建模与仿真分析[J]. 无线电工程, 2024, 54 (2): 319- 326. DOI
	LONG Yujiang, JIANG Chaoying, LI Xun, et al. Multi-granularity modeling and simulation analysis of transformer based on digital twin[J]. Radio Engineering, 2024, 54 (2): 319- 326. DOI
16	王青于, 楚智霖, 程建伟, 等. 换流变阀侧套管极性反转暂态电场模型降阶[J]. 高电压技术, 2023, 49 (6): 2420- 2431.
	WANG Qingyu, CHU Zhilin, CHENG Jianwei, et al. Reduced order model of polarity reversal transient electric field of converter transformer valve-side bushing[J]. High Voltage Engineering, 2023, 49 (6): 2420- 2431.
17	刘云鹏, 刘一瑾, 律方成, 等. 数字孪生技术在输变电设备中的应用前景与关键技术[J]. 高电压技术, 2022, 48 (5): 1621- 1633.
	LIU Yunpeng, LIU Yijin, LÜ Fangcheng, et al. Application prospect and key technology of digital twin in power transmission and transformation equipment[J]. High Voltage Engineering, 2022, 48 (5): 1621- 1633.
18	杨帆, 吴涛, 廖瑞金, 等. 数字孪生在电力装备领域中的应用与实现方法[J]. 高电压技术, 2021, 47 (5): 1505- 1521.
	YANG Fan, WU Tao, LIAO Ruijin, et al. Application and implementation method of digital twin in electric equipment[J]. High Voltage Engineering, 2021, 47 (5): 1505- 1521.
19	LI Y, SHEN X J. A novel wind speed-sensing methodology for wind turbines based on digital twin technology[J]. IEEE Transactions on Instrumentation and Measurement, 2021, 71, 2503213.
20	王浩, 许海伟, 杜勇, 等. 基于数字孪生模型的GIS筒体关键部件温变行为研究[J]. 高电压技术, 2021, 47 (5): 1584- 1594.
	WANG Hao, XU Haiwei, DU Yong, et al. Research on temperature change behavior of key components of GIS barrel based on digital twin model[J]. High Voltage Engineering, 2021, 47 (5): 1584- 1594.
21	KOLESNIKOV I E, KORZHOV A V, GORSHKOV K E. Digital program for diagnosing the status of a power transformer[C]//2020 Global Smart Industry Conference (GloSIC). Chelyabinsk, Russia. IEEE, 2020: 315–321.
22	蒲天骄, 陈盛, 赵琦, 等. 能源互联网数字孪生系统框架设计及应用展望[J]. 中国电机工程学报, 2021, 41 (6): 2012- 2029.
	PU Tianjiao, CHEN Sheng, ZHAO Qi, et al. Framework design and application prospect for digital twins system of energy Internet[J]. Proceedings of the CSEE, 2021, 41 (6): 2012- 2029.
23	沈沉, 曹仟妮, 贾孟硕, 等. 电力系统数字孪生的概念、特点及应用展望[J]. 中国电机工程学报, 2022, 42 (2): 487- 499.
	SHEN Chen, CAO Qianni, JIA Mengshuo, et al. Concepts, characteristics and prospects of application of digital twin in power system[J]. Proceedings of the CSEE, 2022, 42 (2): 487- 499.
24	李猛, 聂铭, 和敬涵, 等. 基于数字孪生的柔性直流电网纵联保护原理[J]. 中国电机工程学报, 2022, 42 (5): 1773- 1783.
	LI Meng, NIE Ming, HE Jinghan, et al. Pilot protection of flexible DC grid based on digital twin[J]. Proceedings of the CSEE, 2022, 42 (5): 1773- 1783.
25	严兴煜, 高赐威, 陈涛, 等. 数字孪生虚拟电厂系统框架设计及其实践展望[J]. 中国电机工程学报, 2023, 43 (2): 604- 619.
	YAN Xingyu, GAO Ciwei, CHEN Tao, et al. Framework design and application prospect for digital twin virtual power plant system[J]. Proceedings of the CSEE, 2023, 43 (2): 604- 619.

[1]	陈志永, 韩璟琳, 刘洋, 李光毅, 蒋雨, 蔡瑞天. 基于关键帧提取与图像识别的电网设施数字化重建[J]. 中国电力, 2024, 57(9): 217-223.
[2]	田鑫, 王林钰, 冀星沛, 韩新阳. 基于现代化基础设施体系政策要求的电网规模预测及优化需求[J]. 中国电力, 2024, 57(2): 1-8.
[3]	刘曌, 孙庆凯, 许泽凯, 吴潇雨, 王小君, 吕金玲. 能源互联网中的数字孪生技术体系、应用与挑战[J]. 中国电力, 2024, 57(1): 230-243.
[4]	王景兵, 张帆, 程兆璐, 王家兴, 周旭光, 齐朋帅, 魏艳慧, 李国倡. 盐雾对电缆附件硅橡胶电气绝缘性能影响及其机理[J]. 中国电力, 2023, 56(6): 82-89,100.
[5]	韩伟, 段文岩, 杜兴伟, 姚峰, 马伟东, 刘磊. 基于数字孪生的在运安控系统故障诊断方法[J]. 中国电力, 2023, 56(11): 121-127.
[6]	刘文君, 董明, 徐元孚, 韩强, 王鑫, 许雷, 杜明. 电力设备运行状态大数据标签体系与关键技术[J]. 中国电力, 2022, 55(1): 126-132.
[7]	黄锐勇, 戴美胜, 郑跃斌, 黄勤琴, 康立烨, 苟先太, 周维超. 电力设备红外图像缺陷检测[J]. 中国电力, 2021, 54(2): 147-155.
[8]	余萍,董保国. 基于SIFT特征匹配的电力设备图像变化参数识别[J]. 中国电力, 2012, 45(11): 60-64.