Flicker Parameters Detection Technology Based on Improved Energy Operator of Optimized Sampling Interval and MSLD-SCW Function Spectrum Correction in and Its Application in Wind Farms
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摘要: 风力发电并网和电力电子技术的广泛发展与应用，造成的电压波动与闪变已成为当前智能电网不容忽视的问题。针对人眼更为敏感的矩形波调制下的电压闪变模型，该文提出改进能量算子和加截断窗谱线插值快速傅里叶变换(FFT) 的闪变包络参数识别法。通过优化能量算子采样间隔实现电压波动分量准确提取，以改进的最大旁瓣衰减速率(MSLD)6项组合余弦窗为母窗构建频域性能优良的MSLD自卷积窗(MSLD-SCW)函数，推导基于新型2阶 MSLD-SCW函数谱线插值校正公式，据此实现矩形方波调制的闪变参数识别与分析。仿真结果表明，优化改进算法在单频矩形方波调制、多频方波调幅波调制、含有谐波与次/超同步间谐波干扰、基频变动及含有噪声等干扰源背景下，相较于传统检测算法均保持较高准确性。最后，将优化算法应用于新疆某地区电网电压闪变识别，验证其有效性。Abstract: With the wide development and application of grid-connected wind power generation and power electronics technologies, the voltage fluctuation and flicker problem can not be ignored in smart grid. Considering the voltage flicker model under rectangular wave modulation which is more sensitive to human eyes, a method for detecting voltage flicker envelope parameters based on improved energy operator and windowed interpolation Fast Fourier Transform (FFT) is proposed. By optimizing the sampling interval of energy operator, the voltage fluctuation components can be accurately extracted. A Maximum Side-Lobe Decay(MSLD) Self-Convolution Window(MSLD-SCW) function with excellent frequency domain performance can be obtained by improved six-term combined cosine window with MSLD, the rectification formula of spectral line interpolation based on new MSLD-SCW is derived, and the detection and analysis of flicker parameters are realized accordingly. The simulation results indicate that the optimization and improvement algorithm can effectively maintain higher detection accuracy than the traditional methods in the case of single frequency rectangular wave modulation, multi-frequency modulation, containing harmonics and sub/supersynchronous inter-harmonics interference, power grid fundamental frequency deviation and noise interference. Finally, the optimization algorithm is applied to voltage flicker envelope parameters detection in a certain area of XinJiang, and the effectiveness of the algorithm is verified.
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[1] 李加升, 杨金辉, 吴顺秋, 等. 风能发电并网时引起的电压波动与闪变检测的仿真研究[J]. 电测与仪表, 2010, 47(10): 32–35. doi: 10.3969/j.issn.1001-1390.2010.10.008LI Jiasheng, YANG Jinhui, WU Shunqiu, et al. Simulation for voltage fluctuation and flicker when wind power grid detection[J]. Electrical Measurement &Instrumentation, 2010, 47(10): 32–35. doi: 10.3969/j.issn.1001-1390.2010.10.008 [2] 张超, 王维庆, 邱衍江, 等. 大规模风电并网地区次同步谐波检测方法[J]. 高电压技术, 2019, 45(7): 2194–2202. doi: 10.13336/j.1003-6520.hve.20181207008ZHANG Chao, WANG Weiqing, QIU Yanjiang, et al. Detection method of subsynchronous harmonic in regions with large scale wind power paralleled in grid[J]. High Voltage Engineering, 2019, 45(7): 2194–2202. doi: 10.13336/j.1003-6520.hve.20181207008 [3] 李芊芊, 张江滨, 李亚琳. 适用于双馈风机的并网电压波动与闪变检测系统的研究[J]. 电网与清洁能源, 2015, 31(12): 126–131. doi: 10.3969/j.issn.1674-3814.2015.12.023LI Qianqian, ZHANG Jiangbin, and LI Yalin. Research on grid-connected voltage fluctuation and flicker detection system suitable for doubly-fed fan[J]. Power System and C1ean Energy, 2015, 31(12): 126–131. doi: 10.3969/j.issn.1674-3814.2015.12.023 [4] 张超, 王维庆, 王海云, 等. 风火打捆外送系统220kV电网次同步振荡监控策略研究[J]. 电力系统保护与控制, 2018, 46(11): 138–144. doi: 10.7667/PSPC170755ZHANG Chao, WANG Weiqing, WANG Haiyun, et al. Study on monitoring and control strategy of subsynchronous oscillation for 220 kV power grid in wind-thermal-bundled transmission system[J]. Power System Protection and Control, 2018, 46(11): 138–144. doi: 10.7667/PSPC170755 [5] 倪良华, 肖李俊, 历馨, 等. 基于HHT与闪变功率流向法的闪变源定位识别[J]. 电网与清洁能源, 2018, 34(1): 26–31. doi: 10.3969/j.issn.1674-3814.2018.01.005NI Lianghua, XIAO Lijun, LI Xin, et al. Flicker source tracing based on HHT and flicker power flow direction method[J]. Power System and Clean Energy, 2018, 34(1): 26–31. doi: 10.3969/j.issn.1674-3814.2018.01.005 [6] 倪良华, 肖李俊, 吕干云, 等. 基于改进HHT的电压闪变检测[J]. 电测与仪表, 2017, 54(18): 72–78. doi: 10.3969/j.issn.1001-1390.2017.18.012NI Lianghua, XIAO Lijun, LÜ Ganyun, et al. Voltage flicker parameters detection based on modified HHT[J]. Electrical Measurement &Instrumentation, 2017, 54(18): 72–78. doi: 10.3969/j.issn.1001-1390.2017.18.012 [7] 石黄霞, 付涛. 基于小波变换的单频时变电压闪变检测仿真研究[J]. 电气自动化, 2020, 42(3): 52–54. doi: 10.3969//j.issn.1000-3886.2020.03.016SHI Huangxia and FU Tao. Simulation study on single-frequency time-varying voltage flicker detection based on wavelet transform[J]. Electrical Automation, 2020, 42(3): 52–54. doi: 10.3969//j.issn.1000-3886.2020.03.016 [8] 贾峰, 孙曼, 杨勰颖. 基于改进小波变换的电力谐波检测方法研究[J]. 计算机仿真, 2017, 34(1): 99–103. doi: 10.3969/j.issn.1006-9348.2017.01.021JIA Feng, SUN Man, and YANG Xieying. Power harmonic detection method research basedon improved wavelet transform[J]. Computer Simulation, 2017, 34(1): 99–103. doi: 10.3969/j.issn.1006-9348.2017.01.021 [9] 吕干云, 武阳, 时翔, 等. 一种基于S变换的闪变检测和源定位方法[J]. 电力电容器与无功补偿, 2018, 39(5): 87–93. doi: 10.14044/j.1674-1757.pcrpc.2018.05.016LÜ Ganyun, WU Yang, SHI Xiang, et al. Flicker detection and source location method based on S-transform[J]. Power Capacitor &Reactive Power Compensation, 2018, 39(5): 87–93. doi: 10.14044/j.1674-1757.pcrpc.2018.05.016 [10] 王粉花, 谢斌, 王华涛. 基于FPGA的快速差频测量系统设计[J]. 电子与信息学报, 2019, 41(1): 187–194. doi: 10.11999/JEIT180243WANG Fenhua, XIE Bin, and WANG Huatao. Design of fast differential frequency measurement system based on FPGA[J]. Journal of Electronics &Information Technology, 2019, 41(1): 187–194. doi: 10.11999/JEIT180243 [11] 古庭赟, 高云鹏, 吴聪, 等. 基于改进能量算子和六项余弦窗频谱校正的电压闪变包络参数检测[J]. 电力系统保护与控制, 2019, 47(23): 44–51. doi: 10.19783/j.cnki.pspc.181600GU Tingyun, GAO Yunpeng, WU Cong, et al. Voltage flicker envelope parameter detection based on improved energy operator and six-term cosine window spectrum correction[J]. Power System Protection and Control, 2019, 47(23): 44–51. doi: 10.19783/j.cnki.pspc.181600 [12] 罗瑜, 张珍珍. 一种方向插值预测变长编码的帧存有损压缩算法[J]. 电子与信息学报, 2019, 41(10): 2495–2500. doi: 10.11999/JEIT181195LUO Yu and ZHANG Zhenzhen. A lossy frame memory compression algorithm using directional interpolation prediction variable length coding[J]. Journal of Electronics &Information Technology, 2019, 41(10): 2495–2500. doi: 10.11999/JEIT181195 [13] 陈至豪, 王立德, 王冲, 等. 基于组合余弦优化窗四谱线插值FFT的电力谐波分析方法[J]. 电网技术, 2020, 44(3): 1105–1113. doi: 10.13335/j.1000-3673.pst.2019.0075CHEN Zhihao, WANG Lide, WANG Chong, et al. An approach for electrical harmonic analysis based on optimized composite cosine window four-spectrum-line interpolation FFT[J]. Power System Technology, 2020, 44(3): 1105–1113. doi: 10.13335/j.1000-3673.pst.2019.0075 [14] 曾博, 唐求, 卿柏元, 等. 基于Nuttall自卷积窗的改进FFT谱分析方法[J]. 电工技术学报, 2014, 29(7): 59–65. doi: 10.3969/j.issn.1000-6753.2014.07.009ZENG Bo, TANG Qiu, QING Baiyuan, et al. Spectral analysis method based on improved FFT by nuttall self-convolution window[J]. Transactions of China Electrotechnical Society, 2014, 29(7): 59–65. doi: 10.3969/j.issn.1000-6753.2014.07.009 [15] 孙仲民, 何正友, 臧天磊. 一种混合卷积窗及其在谐波分析中的应用[J]. 电工技术学报, 2016, 31(16): 207–214. doi: 10.3969/j.issn.1000-6753.2016.16.024SUN Zhongmin, HE Zhengyou, and ZANG Tianlei. A kind of hybrid convolution window and its application in harmonic analysis[J]. Transactions of China Electrotechnical Society, 2016, 31(16): 207–214. doi: 10.3969/j.issn.1000-6753.2016.16.024 [16] 崔嘉, 杨俊友, 李连富, 等. 含分布式风电场的配电网电压波动分析与抑制[J]. 电网技术, 2015, 39(12): 3414–3420. doi: 10.13335/j.1000-3673.pst.2015.12.013CUI Jia, YANG Junyou, LI Lianfu, et al. Voltage fluctuation analysis and mitigation of distribution network containing distributed wind farm[J]. Power System Technology, 2015, 39(12): 3414–3420. doi: 10.13335/j.1000-3673.pst.2015.12.013 -
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