Research and Application of Algorithm for Distribution Network Synchronous Phasor Measurement Unit Based on Hanning Window

doi:10.11930/j.issn.1004-9649.202007191

Abstract

Abstract: The measurement environment of distribution network is complex and poor, and the traditional synchronous phasor algorithm of transmission network is difficult to meet the requirements. The harmonic suppression ability of Fourier algorithm under common window functions is analyzed. The synchronous phasor measurement algorithm with fixed interval sampling is deduced by using three equal interval discrete Fourier transforms with Hanning window, which theoretically eliminates the influence of frequency leakage under non rated frequency, and can meet the requirements of high-precision phase measurement with good harmonic/interharmonic suppression ability. Aiming at the problem that spectrum leakage affects the calculation accuracy when multiple signals exist at the same time, the advantages of FFT interpolation algorithm with Hanning window over other window functions are analyzed and compared. Theoretical analysis and practical tests show that the measurement accuracy of phasor, harmonic / interharmonic and other quantities is improved after adopting the above scheme.

Key words: distribution network, PMU, Hanning window, FFT, harmonic

YU Gaowang, FANG Chen, FAN Zhanfeng, LIN Li, GONG Yun, ZHU Yunfeng. Research and Application of Algorithm for Distribution Network Synchronous Phasor Measurement Unit Based on Hanning Window[J]. Electric Power, 2022, 55(6): 18-24.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202007191

https://www.electricpower.com.cn/EN/Y2022/V55/I6/18

References

[1] 杨智伟, 刘灏, 毕天姝, 等. 基于长短期记忆网络的PMU不良数据检测方法[J]. 电力系统保护与控制, 2020, 48(7): 1–9
YANG Zhiwei, LIU Hao, BI Tianshu, et al. PMU bad data detection method based on long short-term memory network[J]. Power System Protection and Control, 2020, 48(7): 1–9
[2] 李志豪, 陈皓勇. 基于PMU量测的配电网稀疏估计[J]. 电力系统保护与控制, 2020, 48(23): 11–20
LI Zhihao, CHEN Haoyong. Sparse estimation of a distribution network based on PMU measurement[J]. Power System Protection and Control, 2020, 48(23): 11–20
[3] 黄潇潇, 杨韬, 郑骁麟, 等. 基于PMU量测信息的短线路同杆并架双回线参数辨识[J]. 中国电力, 2020, 53(7): 141–148
HUANG Xiaoxiao, YANG Tao, ZHENG Xiaolin, et al. Parameter identification of short parallel double-circuit lines based on PMU measurements[J]. Electric Power, 2020, 53(7): 141–148
[4] 郑楚韬, 孔祥轩, 李斌, 等. 一种新型配电网同步量测装置的研制[J]. 智慧电力, 2020, 48(2): 65–70, 77
ZHENG Chutao, KONG Xiangxuan, LI Bin, et al. Development of A new synchronous measurement unit for distribution network[J]. Smart Power, 2020, 48(2): 65–70, 77
[5] 连鸿松, 张少涵, 张逸. 基于自适应容积卡尔曼滤波算法的电力系统动态谐波状态估计[J]. 智慧电力, 2020, 48(6): 14–19, 53
LIAN Hongsong, ZHANG Shaohan, ZHANG Yi. Dynamic harmonic state estimation of power system based on adaptive volumetric Kalman filter[J]. Smart Power, 2020, 48(6): 14–19, 53
[6] 徐全, 袁智勇, 雷金勇, 等. 基于5G的高精度同步相量测量及测试方法[J]. 南方电网技术, 2021, 15(7): 76–80
XU Quan, YUAN Zhiyong, LEI Jinyong, et al. High precision synchronous phasor measurement and test method based on 5th generation mobile networks[J]. Southern Power System Technology, 2021, 15(7): 76–80
[7] 高文焘. 基于μPMU的主动配电网故障定位技术研究[D]. 北京: 北京理工大学, 2016.
GAO Wentao. Research on μPMU based fault location technologies for active distribution network[D]. Beijing: Beijing Institute of Technology, 2016.
[8] 管廷龙, 薛永端, 徐丙垠. 基于故障相电压极化量的谐振接地系统高阻故障方向检测方法[J]. 电力系统保护与控制, 2020, 48(23): 73–81
GUAN Tinglong, XUE Yongduan, XU Bingyin. Method for detecting high-impedance fault direction in a resonant grounding system based on voltage polarization of the fault phase[J]. Power System Protection and Control, 2020, 48(23): 73–81
[9] 许寅, 王思家, 吴翔宇, 等. 基于同步相量测量的配电网孤岛多源协同控制方法[J]. 电网技术, 2019, 43(3): 872–880
XU Yin, WANG Sijia, WU Xiangyu, et al. Multi-source coordinated control method based on PMU for islanded distribution network[J]. Power System Technology, 2019, 43(3): 872–880
[10] 王成斌, 贠志皓, 张恒旭, 等. 基于微型PMU的配电网多分支架空线路参数无关故障定位算法[J]. 电网技术, 2019, 43(9): 3202–3211
WANG Chengbin, YUN Zhihao, ZHANG Hengxu, et al. Parameter-free fault location algorithm for multi-terminal overhead transmission line of distribution network based on μMPMU[J]. Power System Technology, 2019, 43(9): 3202–3211
[11] LIU Y L. A US-wide power systems frequency monitoring network[C]//2006 IEEE PES Power Systems Conference and Exposition. Atlanta, GA, USA. IEEE, 2006: 159-166.
[12] 张恒旭, 靳宗帅, 刘玉田. 轻型广域测量系统及其在中国的应用[J]. 电力系统自动化, 2014, 38(22): 85–90
ZHANG Hengxu, JIN Zongshuai, LIU Yutian. Wide-area measurement system light and its application in China[J]. Automation of Electric Power Systems, 2014, 38(22): 85–90
[13] 吴智利, 赵庆生, 陈惠英, 等. 低频采样下基于卡尔曼滤波的同步相量测量算法的研究[J]. 电力系统保护与控制, 2014, 42(15): 94–99
WU Zhili, ZHAO Qingsheng, CHEN Huiying, et al. A Kalman-filter based phasor measurement algorithm under low sampling frequency[J]. Power System Protection and Control, 2014, 42(15): 94–99
[14] 汪芙平, 靳夏宁, 王赞基. 实现动态相量测量的FIR数字滤波器最优设计[J]. 中国电机工程学报, 2014, 34(15): 2388–2395
WANG Fuping, JIN Xianing, WANG Zanji. Optimal design of FIR digital filters for dynamic phasor measurement[J]. Proceedings of the CSEE, 2014, 34(15): 2388–2395
[15] 李建, 谢小荣, 韩英铎. 同步相量测量的若干关键问题[J]. 电力系统自动化, 2005, 29(1): 45–48,76
LI Jian, XIE Xiaorong, HAN Yingduo. Some key issues of synchrophasor measurement[J]. Automation of Electric Power Systems, 2005, 29(1): 45–48,76
[16] 王茂海, 孙元章. 基于DFT的电力系统相量及功率测量新算法[J]. 电力系统自动化, 2005, 29(2): 20–24
WANG Maohai, SUN Yuanzhang. A DFT-based method for phasor and power measurement in power systems[J]. Automation of Electric Power Systems, 2005, 29(2): 20–24
[17] 闫常友, 张涛, 杨奇逊. 基于DFT的非同步采样情况下相量测量误差研究综述[J]. 继电器, 2004, 32(10): 80–84
YAN Changyou, ZHANG Tao, YANG Qixun. Survey of phasor measurement errors on DFT-based non-synchronous sampling[J]. Relay, 2004, 32(10): 80–84
[18] 徐全, 陆超, 刘映尚, 等. 基于泰勒级数和离散傅里叶变换的综合自适应相量算法[J]. 电力系统自动化, 2016, 40(19): 37–43
XU Quan, LU Chao, LIU Yingshang, et al. Comprehensive adaptive phasor algorithm based on Taylor series and discrete Fourier transform[J]. Automation of Electric Power Systems, 2016, 40(19): 37–43
[19] 王印峰, 陆超, 李依泽, 等. 一种配电网高精度快响应同步相量算法及其实现[J]. 电网技术, 2019, 43(3): 753–761
WANG Yinfeng, LU Chao, LI Yize, et al. A high-accuracy and fast-response synchrophasor algorithm and its implementation for distribution network[J]. Power System Technology, 2019, 43(3): 753–761
[20] 蔡云峰, 汤飞, 吕洋, 等. 一种适用于配电网的同步相量测量改进算法[J]. 电力系统自动化, 2019, 43(21): 141–147
CAI Yunfeng, TANG Fei, LYU Yang, et al. An improved algorithm of synchronous phase measurement available for distribution network[J]. Automation of Electric Power Systems, 2019, 43(21): 141–147
[21] 常乃超, 刘思旭, 余高旺, 等. 动态条件下同步相量测量装置的数字滤波器及计算优化[J]. 电力系统自动化, 2017, 41(20): 92–96
CHANG Naichao, LIU Sixu, YU Gaowang, et al. Digital filter and computational optimization of synchronized phasor measurement unit under dynamic conditions[J]. Automation of Electric Power Systems, 2017, 41(20): 92–96
[22] 池源, 唐文左, 刘国平, 等. 基于频域滤波的间谐波在线检测算法[J]. 中国电力, 2014, 47(4): 86–91
CHI Yuan, TANG Wenzuo, LIU Guoping, et al. On-line detection algorithm for interharmonics based on spectrum domain filtering[J]. Electric Power, 2014, 47(4): 86–91
[23] 陈子珍, 夏冰冰, 阎威武. 基于改进加窗插值FFT的高精度谐波与间谐波检测算法[J]. 中国电力, 2015, 48(9): 73–79
CHEN Zizhen, XIA Bingbing, YAN Weiwu. Precise algorithms for harmonic and inter-harmonic detection based on improved window-interpolated FFT method[J]. Electric Power, 2015, 48(9): 73–79
[24] 王保帅, 肖霞. 一种用于谐波分析的高精度多谱线插值算法[J]. 电工技术学报, 2018, 33(3): 553–562
WANG Baoshuai, XIAO Xia. A high accuracy multi-spectrum-line interpolation algorithm for harmonic analysis[J]. Transactions of China Electrotechnical Society, 2018, 33(3): 553–562
[25] 张伏生, 耿中行, 葛耀中. 电力系统谐波分析的高精度FFT算法[J]. 中国电机工程学报, 1999, 19(3): 63–66
ZHANG Fusheng, GENG Zhongxing, GE Yaozhong. Fft algorithm with high accuracy for harmonic analysis in power system[J]. Proceedings of the CSEE, 1999, 19(3): 63–66