杨挺;何周泽;赵东艳;盆海波;姜含;蔡绍堂;原义栋;蔡玉朋;

• 1:天津大学电气自动化与信息工程学院
• 2:北京智芯微电子科技有限公司
• 3:国网辽宁省电力有限公司电力科学研究院

摘要(Abstract)：

电力物联网承载的电气量测数据在采集、传输、转换等各个环节中受到干扰而导致数据出现缺失,影响状态估计精度和系统稳定运行。针对传统修复策略仅考虑一维量测数据横向分布规律造成数据修复精度较低的不足之处,充分考虑电力系统量测数据缺失点的邻域数据以及量测数据的周期性变化规律,提出一种基于模糊自组织(fuzzy self organizing map,FSOM)神经网络的电能质量量测缺失数据修复方法。首先,通过将电能质量一维测量数据映射为二维灰度图像,提升数据间的时-空相关性解析。进而采用人工智能FSOM神经网络算法对原始数据进行聚类,析构出数据的多层特征值,进行对聚类后数据的分层修复。最后,以劳伦斯伯克利国家实验室实测电能质量数据为基础实验验证FSOM算法性能。实验结果表明,无论是在随机缺失还是连续缺失情况下,提出的FSOM修复算法比现有算法在数据低丢失率和高丢失率下都有更低的修复误差和更高的信噪比。

关键词(KeyWords)： FSOM神经网络;量测数据;二维映射;缺失数据修复

Abstract:

Keywords:

基金项目(Foundation): 国家电网有限公司总部科技项目(2019GW-12)~~

作者(Author): 杨挺;何周泽;赵东艳;盆海波;姜含;蔡绍堂;原义栋;蔡玉朋;

Email:

DOI: 10.13335/j.1000-3673.pst.2019.1805

参考文献(References)：

• [1]杨挺，翟峰，赵英杰，等．泛在电力物联网释义与研究展望[J]．电力系统自动化，2019,43(13):9-20+53.Yang Ting,Zhai Feng,Zhao Yingjie,et al.Explanation and prospect of ubiquitous electric power internet of things[J].Automation of Electric Power Systems,2019,43(13):9-20+53(in Chinese)．
• [2]Gao P,Wang M,Ghiocel S G,et al.Missing data recovery by exploiting low-dimensionality in power system synchrophasor measurements[J].IEEETransactions on Power Systems,2015,31(2):1006-1013．
• [3]Sun J,Liao H,Upadhyaya B R.A robust functional-data-analysis method for data recovery in multichannel sensor systems[J].IEEETransactions on Cybernetics,2014,44(8):1420-1431．
• [4]Manembu P,Kewo A,Welang B.Missing data solution of electricity consumption based on Lagrange Interpolation case study:Intellig En Sia data monitoring[C]//International Conference on Electrical Engineering&Informatics,Denpasar,Indonesia,2015:511-516．
• [5]Pengjia Shi,Linyao Zhang.A missing data complement method based on k-means clustering analysis[C]//IEEE Conference on Energy Internet and Energy System Integration,Beijing,China,2017:1-5．
• [6]杨挺，赵黎媛，王成山．人工智能在电力系统及综合能源系统中的应用综述[J]．电力系统自动化，2019,43(1):8-20.Yang Ting,Zhao Liyuan,Wang Chengshan.Review on application of artificial intelligence in power system and integrated energy system[J].Automation of Electric Power Systems,2019,43(1):8-20(in Chinese)．
• [7]Crespo T C,Sánchez L F,Calvo-RolléJosé，et al.A new missing data imputation algorithm applied to electrical data loggers[J].Sensors,2015,15(12):31069-31082．
• [8]Minkyung K,Sangdon P,Joohyung L,et al.Learning-based adaptive imputation method with k NN algorithm for missing power data[J].Energies,2017,10(10):1668．
• [9]杨茂，孙涌，穆钢，等．基于自适应神经模糊推理系统的风功率缺失数据补齐[J]．电力系统自动化，2014,38(19):16-21+46.Yang Mao,Sun Yong,Mu Gang,et al.Data completing of missing wind power data based on adaptive neuro-fuzzy inference system[J].Automation of Electric Power Systems,2014,38(19):16-21+46(in Chinese)．
• [10]刁赢龙，盛万兴，刘科研，等．大规模配电网负荷数据在线清洗与修复方法研究[J]．电网技术，2015,39(11):3134-3140.Diao Yinglong,Sheng Wanxing,Liu Keyan,et al.Research on online cleaning and repair methods of large-scale distribution network load data[J].Power System Technology,2015,39(11):3134-3140(in Chinese)．
• [11]唐良瑞，王瑞杰，吴润泽，等．面向全景调控统一数据模型的缺失数据填补算法[J]．电力系统自动化，2017,41(1):25-30+87.Tang Liangrui,Wang Ruijie,Wu Runze,et al.Missing data filling algorithm for uniform data model in panoramic dispatching and control system[J].Automation of Electric Power Systems,2017,41(1):25-30+87(in Chinese)．
• [12]Kumar R,Singh B,Shahani D T,et al.Recognition of power-quality disturbances using s-transform-based ANN classifier and rule-based decision tree[J].IEEE Transactions on Industry Applications,2015,51(2):1249-1258．
• [13]张新鹏，胡茑庆，程哲，等．基于压缩感知的振动数据修复方法[J]．物理学报，2014,63(20):119-128.Zhang Xinpeng,Hu Niaoqing,Cheng Zhe,et al.Vibration data recovery based on compressed sensing[J].Acta Physica Sinica,2014,63(20):119-128(in Chinese)．
• [14]Shi W,Zhu Y,Yu P S,et al.Temporal dynamic matrix factorization for missing data prediction in large scale coevolving time series[J].IEEE Access,2016(4):6719-6732．
• [15]王毅，李鼎睿，康重庆．低秩矩阵分解在母线坏数据辨识与修复中的应用[J]．电网技术，2017,41(6):1972-1979.Wang Yi,Li Dingrui,Kang Chongqing.Application of low-rank matrix factorization in bad data identification and recovering for bus load[J].Power System Technology,2017,41(6):1972-1979(in Chinese)．
• [16]马云飞，贾希胜，胡起伟，等．基于EMD和BCS的振动信号数据修复方法[J]．仪器仪表学报，2019,40(3):154-162.Ma Yunfei,Jia Xisheng,Hu Qiwei,et al.Vibration signal repairing method based on EMD and BCS[J].Chinese Journal of Scientific Instrument,2019,40(3):154-162(in Chinese)．
• [17]毛李帆，姚建刚，金永顺，等．中长期负荷预测的异常数据辨识与缺失数据处理[J]．电网技术，2010,34(7):148-153.Mao Lifan,Yao Jiangang,Jin Yongshun,et al.Abnormal data identification and missing data filling in medium-and long-term load forecasting[J].Power System Technology,2010,34(7):148-153(in Chinese).