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Error estimation method of smart meter based on improved dynamic line loss estimation |
WEI Xiancan, GAO Wei, YANG Gengjie |
College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108 |
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Abstract Aiming at the problems of low efficiency, high labor cost, poor real-time performance and difficult to be fully covered in the sampling inspection of smart meters, an online error estimation method of smart meters based on improved dynamic line loss estimation is proposed. First, considering the influence of load type on line loss estimation, the dynamic line loss estimation model is improved to make the error estimation obtained by the model closer to the real value. Then, the recursive least square method with forgetting factor is used to solve the improved dynamic line loss model, and the error estimation results of smart meter are obtained. Finally, the effectiveness of the proposed method is verified by the data of smart meter in the actual distribution station area. The experimental results show that the detection accuracy of the proposed method is better than that of the fixed line loss model and the dynamic line loss model.
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Received: 03 September 2021
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Cite this article: |
WEI Xiancan,GAO Wei,YANG Gengjie. Error estimation method of smart meter based on improved dynamic line loss estimation[J]. Electrical Engineering, 2022, 23(2): 7-12.
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URL: |
http://dqjs.cesmedia.cn/EN/Y2022/V23/I2/7
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[1] 杨晶, 郭毅. 智能电表的技术分析及在电网信息采集中应用[J]. 山东工业技术, 2018(16): 126. [2] 李腾腾, 蔡梦杰, 高永峰, 等. 基于智能手机视频处理技术的智能电表故障检测[J]. 电气技术, 2021, 22(6): 124-127. [3] 张蓬鹤, 张保亮, 陈思禹. 基于分层抽样的运行智能电能表剩余寿命预测方法研究[J]. 电测与仪表, 2019, 56(5): 148-152. [4] 郭景涛. 面向智能电网AMI的网络计量关键技术与用户用电数据挖掘研究[D]. 天津: 天津大学, 2012. [5] 程瑛颖, 杨华潇, 肖冀, 等. 电能计量装置运行误差分析及状态评价方法研究[J]. 电工电能新技术, 2014, 33(5): 76-80. [6] 庹璟, 唐登平, 蔡文嘉, 等. 基于状态参量的智能电表误差状态预测方法[J]. 仪表技术, 2019(3): 1-5, 41. [7] 孔祥玉, 马玉莹, 李野, 等. 基于限定记忆递推最小二乘算法的智能电表运行误差远程估计[J]. 中国电机工程学报, 2020, 40(7): 2143-2151, 2394. [8] KONG Xiangyu, ZHANG Xiaopeng, MA Yuying, et al.Online smart meter measurement error estimation based on EKF and LMRLS method[J]. IEEE Transa-ctions on Smart Grid, 2021, 12(5): 4269-4279. [9] 徐焕增, 孔政敏, 王帅, 等. 基于动态线损及FMRLS算法的智能电表误差在线评估模型[J/OL]. 中国电机工程学报: 1-11[2021-07-10]. https://doi.org/10.13334/j.0258-8013.pcsee.202383. [10] 裘华东, 王伟峰, 陈昊, 等. 基于AMI数据的计量点异常远程诊断模型研究[J]. 电网技术, 2018, 42(增刊): 1-6. [11] KONG Xiangyu, MA Yuying, ZHAO Xin, et al.A recursive least squares method with double-parameter for online estimation of electric meter errors[J]. Energies, 2019, 12(5): 1-16. [12] 赵磊, 栾文鹏, 王倩. 应用AMI数据的低压配电网精确线损分析[J]. 电网技术, 2015, 39(11): 3189-3194. [13] 付学谦, 陈皓勇. 平均电流损耗时间法在配网线损计算中的应用[J]. 电工技术学报, 2015, 30(12): 377-382. [14] 数字化电能表校准规范: DL/T 1507—2016[S] DL/T 1507—2016[S]. 北京: 中国电力出版社, 2016. [15] 张景元, 何玉珠, 崔唯佳. 基于多应力退化模型的智能电表可靠寿命预估[J]. 北京航空航天大学学报, 2017, 43(8): 1662-1669. [16] 丁蓝, 班诗淇, 曾博. 基于RRLS的电网戴维南等值参数辨识研究[J]. 电气技术, 2017, 18(2): 78-82. [17] 谢文超, 赵延明, 方紫微, 等. 带可变遗忘因子递推最小二乘法的超级电容模组等效模型参数辨识方法[J]. 电工技术学报, 2021, 36(5): 996-1005. |
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