武永强,张一帆,王宇强,杨洋,梁帅,贾俊青,郭杉
WU Yongqiang,ZHANG Yifan,WANG Yuqiang,YANG Yang,LIANG Shuai,JIA Junqing,GUO Shan

• 1:内蒙古电力(集团)有限责任公司锡林郭勒供电分公司
• 2:内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司
• 3:内蒙古自治区电力系统智能化电网仿真企业重点实验室

摘要(Abstract)：

针对电网谐波源呈现海量化，多谐波源耦合叠加严重影响电网电能质量的问题，基于分布式和微服务技术开发了电能质量监测系统。该系统采用分层分布结构设计，通过分布式计算、缓存等技术处理海量监测数据，利用微服务技术灵活开发和扩展电能质量分析功能，具备接入1000个电能质量终端的能力，包含专项分析和高级应用等特殊模块，可专项评估风电接入高低电压过渡故障特征，统计电压暂降和脱网信息等，以及嵌入了电能质量稳态扰动主成因分析等功能，实现了对电能质量状况的全面监测和快速分析。
Aiming at the problem of massive harmonic sources in the current power grid, and the serious affects of the power quality of the power grid caused by the coupling and superposition of multiple harmonic sources, a power quality monitoring system has been developed on the basis of distributed and microservice technologies. The system adopts a hierarchical distributed structure design, which processes massive monitoring data through distributed computing, caching and other technologies, and flexibly develops and expands power quality analysis functions utilizing microservice technology.Currently, it has the ability to access 1000 power quality terminals, including special modules such as special analysis and advanced applications, which can specifically assess the characteristics of high and low voltage transition faults of wind power access, and statistically assess the voltage dips and off-grid information, etc. In addition, it has embedded power quality steady state disturbance main cause analysis and other functions, to realize the comprehensive monitoring and rapid analysis of power quality conditions.

关键词(KeyWords)： 电能质量;微服务技术;分布式技术;监测系统;灵活性
power quality;microservice technology;distributed technology;monitoring system;flexibility

Abstract:

Keywords:

基金项目(Foundation): 内蒙古电力（集团）有限责任公司科技项目“基于分布式能源消纳技术构建区域能源互联网应用研究”（2022-01）

作者(Author): 武永强,张一帆,王宇强,杨洋,梁帅,贾俊青,郭杉
WU Yongqiang,ZHANG Yifan,WANG Yuqiang,YANG Yang,LIANG Shuai,JIA Junqing,GUO Shan

参考文献(References)：

• [1]赵长伟，骈睿珺，杜天硕，等.基于LSTM的重要用户电能质量趋势预测分析模型[J].电力系统及其自动化学报，2022,34(7):26-33.ZHAO Changwei,PIAN Ruijun,DU Tianshuo,et al.Trend Prediction and Analysis Model for Power Quality of Important Users Based on LSTM[J].Proceedings of the CSU-EPSA,2022,34(7):26-33.
• [2]吴兰旭，董中凯，宋志春.基于边缘计算的微电网电能质量控制[J].分布式能源，2022,7(4):74-78.WU Lanxu,DONG Zhongkai,SONG Zhichun.Power Quality Control of Microgrid Based on Edge Computing[J].Distributed Energy,2022,7(4):74-78.
• [3]劳永钊，吴任博，肖健，等.基于同步相量测量的配电网电压暂降溯源系统设计研究[J].南方能源建设，2022,9(1):115-121.LAO Yongzhao,WU Renbo,XIAO Jian,et al.Research on Voltage Sag Source-Locating System Design of Distribution Network Based on Synchronous Phasor Measurement[J].Southern Energy Construction,2022,9(1):115-121.
• [4]樊肖杰，迟永宁，马士聪，等.大规模海上风电接入电网关键技术与技术标准的研究及应用[J].电网技术，2022,46(8):2859-2870.FAN Xiaojie,CHI Yongning,MA Shicong,et al.Research and Application of Key Technologies and Technical Standards for Large-scale Offshore Wind Farms Connecting to Power Grid[J].Power SystemTechnology,2022,46(8):2859-2870.
• [5]兰月，卢健强，杨朋威，等.风储联合系统接入电网电能质量评估分析[J].内蒙古电力技术，2022,40(4):54-60.LAN Yue,LU Jianqiang,YANG Pengwei,et al.Evaluation and Analysis of Power Quality of Wind-Storage Combined System Connected to Power Grid[J].Inner Mongolia Electric Power,2022,40(4):54-60.
• [6]陈思源，景巍巍，史明明，等.新能源接入背景下的谐波源建模方法综述[J].电力系统保护与控制，2022,50(7):162-175.CHEN Siyuan,JING Weiwei,SHI Mingming,et al.Review of harmonic source modeling methods with the background of renewable energy access[J].Power System Protection and Control,2022,50(7):162-175.
• [7]马智泉，李培，徐群伟，等.海上风电场谐波异常的调查与试验分析[J].电网技术，2022,46(8):2928-2937.MA Zhiquan,LI Pei,XU Qunwei,et al.Investigation and Experimental Analysis of Harmonic Anomaly in Offshore Wind Farm[J].Power System Technology,2022,46(8):2928-2937.
• [8]赵一霖，蒋晓艳，臧堃，等.光伏发电并网中谐波特性分析及谐波抑制综述[J].电工技术，2022,560(2):23-28.ZHAO Yilin,JIANG Xiaoyan,ZANG Kun,et al.Survey of Harmonic Characteristics Analysis and Harmonic Suppression in Photovoltaic Power Grid Connection[J].Electric Engineering,2022,560(2):23-28.
• [9]汪颖，谢佳妮，邓凌峰，等.基于典型波形特征与改进DBSCAN的电压暂降同源识别方法[J].电力系统自动化，2021,45(11):126-135.WANG Ying,XIE Jiani,DENG Lingfeng,et al.Identification Method for Same-source Voltage Sags Based on Typical Waveform Characteristics and Improved Density-based Spatial Clustering of Applications with Noise[J].Automation of Electric Power Systems,2021,45(11):126-135.
• [10]汪颖，王欢，张姝.基于优化极限学习机的电压暂降源识别方法[J].电力系统自动化，2020,44(9):135-143.WANG Ying,WANG Huan,ZHANG Shu.Recognition Method of Voltage Sag Source Based on Optimized Extreme Learning Machine[J].Automation of Electric Power Systems,2020,44(9):135-143.
• [11]阳鹏飞，张程辉，彭荣楚，等.基于新型光伏发电系统的子模块电压调制策略[J].分布式能源，2022,7(4):42-47.YANG Pengfei,ZHANG Chenghui,PENG Rongchu,et al.Sub-Module Voltage Modulation Strategy Based on A New Photovoltaic Power Generation System[J].Distributed Energy,2022,7(4):42-47.
• [12]郭敏，金庆忍，杨昊睿，等.基于统一通信平台的广西电网电能质量在线监测系统[J].广西电力，2017,40(5):52-54,58.GUO Min,JIN Qingren,YANG Haorui,et al.Guangxi Power Grid Power Quality Online Monitoring System Based on Unified Communication Platform[J].Guangxi Electric Power,2017,40(5):52-54.58.