基于组合型算法的风电并网地区电压闪变参数识别

张超; 邱衍江; 王维庆; 张新燕

doi:10.19912/j.0254-0096.tynxb.2020-0933

PDF(2643 KB)

太阳能学报 ›› 2022, Vol. 43 ›› Issue (10) : 312-318. DOI: 10.19912/j.0254-0096.tynxb.2020-0933

基于组合型算法的风电并网地区电压闪变参数识别

张超¹, 邱衍江^2,3, 王维庆³, 张新燕³

作者信息 +

VOLTAGE FLICKER PARAMETERS IDENTIFICATION IN WIND POWER GRID-CONNECTED REGIONS BASED ON COMBINATIONAL ALGORITHM

Zhang Chao¹, Qiu Yanjiang^2,3, Wang Weiqing³, Zhang Xinyan³

Author information +

文章历史 +

摘要

针对矩形波调制下的闪变信号模型,提出优化能量算子以改善闪变包络提取精准度。将最大旁瓣衰减速率（MSLD）截断窗作为原始母窗,通过卷积运算构造频谱性能突出的MSLD自卷积窗（MSLD-SCW）函数。基于谱线插值原理推导出2阶 SCW函数的参数修正公式,据此实现闪变幅值与频率参数的处理与识别。与对照组算法的仿真结果表明,研究组在单频调制、多频调制、含有整数次谐波与次/超同步分量、基频波动及含高斯噪声等工况下,均保持较高的两大闪变包络参数识别准确性。最后,将组合优化算法应用于新疆某地区实际电网闪变参数识别,验证其工程实用性。

Abstract

Aiming at the flicker signal model under rectangular wave modulation, an optimized energy operator is proposed to improve the accuracy of flicker envelope extraction. The MSLD truncation window is used as the original parent window, and the MSLD self-convolution window function with outstanding spectrum performance is constructed by convolution computation. Based on the principle of spectral line interpolation, the parameter correction formula of the 2-order SCW function is derived, and the processing and identification of flicker amplitude and frequency parameters are realized. The simulation results with the control group algorithm indicate that the study group can effectively maintain higher detection accuracy of the two flicker envelope parameters under the conditions of single frequency rectangular wave modulation, multi-frequency modulation, integer harmonic and sub/supersynchronous components, fundamental frequency fluctuation, and Gaussian noise. At the end of the paper, the combinational optimization algorithm is applied to identify the flicker parameters of an actual power grid in a certain area of Xinjiang, and its engineering practicability is verified.

导出引用

张超, 邱衍江, 王维庆, 张新燕. 基于组合型算法的风电并网地区电压闪变参数识别[J]. 太阳能学报. 2022, 43(10): 312-318 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0933

Zhang Chao, Qiu Yanjiang, Wang Weiqing, Zhang Xinyan. VOLTAGE FLICKER PARAMETERS IDENTIFICATION IN WIND POWER GRID-CONNECTED REGIONS BASED ON COMBINATIONAL ALGORITHM[J]. Acta Energiae Solaris Sinica. 2022, 43(10): 312-318 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0933

中图分类号： TM714

参考文献

[1] 李晓晶, 陈新, 吴国栋, 等. 新能源并网电压闪变的自相关EMD检测方法研究[J]. 电子测量技术, 2019, 42(11): 70-74.
LI X J, CHEN X, WU G D, et al.Research on voltage flicker detection of new energy resources integration based on EMD[J]. Electrical measurement technology, 2019, 42(11): 70-74.
[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.
ZHANG C, WANG W Q, QIU Y J, et al.Detection method of sub-synchronous harmonic in regions with large scale wind power paralleled in grid[J]. High voltage engineering, 2019, 45(7): 2194-2202.
[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.
LI Q Q, ZHANG J B, LI Y L.Research on grid-connected voltage fluctuation and flicker detection system suitable for doubly-fed fan[J]. Power system and clean energy, 2015, 31(12): 126-131.
[4] 张超, 王维庆, 王海云, 等. 风火打捆外送系统220 kV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.
ZHANG C, WANG W Q, WANG H Y, et al.Study on monitoring and control strategy of sub-synchronous oscillation for 220 kV power grid in wind-thermal-bundled transmission system[J]. Power system protection and control, 2018, 46(11): 138-144.
[5] 吕干云, 吴启宇, 吴晨媛, 等. 电压波动与闪变源定位方法综述[J]. 电力系统及其自动化学报, 2019, 31(6): 7-14.
LYU G Y, WU Q Y, WU C Y,et al.Review on methods for voltage fluctuation and flicker source location[J]. Proceedings of the CSU-EPSA, 2019, 31(6): 7-14.
[6] 王耿耿, 孟高军, 孙玉坤, 等. 微电网并网环境下电能质量分析与研究综述[J]. 电器与能效管理技术, 2019(15): 81-89.
WANG G G, MENG G J, SUN Y K, et al.Summary of power quality analysis and research under micro-grid connection environment[J]. Electrical & energy management technology, 2019 (15): 81-89.
[7] 黄耀东, 张颖, 韩子骞. 基于数学形态滤波的电压闪变检测研究[J]. 电力科学与工程, 2014, 30(8): 69-73.
HUANG Y D, ZHANG Y, HAN Z Q.Voltage flicker detection based on mathematical morphology filtering[J]. Electric power science and engineering, 2014, 30(8): 69-73.
[8] 王旭, 孟克其劳, 张占强, 等. 基于Matlab的风力发电机组电能质量测量[J]. 太阳能学报, 2019, 40(5): 1387-1393.
WANG X, MENGKE Q L, ZHANG Z Q, et al.Power quality measurement of wind turbines based on Matlab[J]. Acta energiae solaris sinica, 2019, 40(5): 1387-1393.
[9] 吕方艳, 孟克其劳, 司伟勇, 等. 基于CS的风力发电机组电压闪变采样与检测[J]. 计算机仿真, 2019, 36(10): 121-124.
LYU F Y, MENGKE Q L, SI W Y, et al.Sampling and detection of voltage flicker of wind turbine based on compressed sensing[J]. Computer simulation, 2019, 36(10): 121-124.
[10] 安海清, 李振动, 岳娜, 等. 基于稀疏复原算法的风电并网电压闪变包络线提取[J]. 电力系统自动化, 2020, 44(7): 139-144.
AN H Q, LI Z D, YUE N, et al.Envelope tracking of voltage flicker caused by wind power integration based on sparse recovery algorithm[J]. Power of electric power system, 2020, 44(7): 139-144.
[11] 古庭赟, 高云鹏, 吴聪, 等. 基于能量算子和六项余弦窗频谱校正的电压闪变参数检测[J]. 电测与仪表, 2020, 57(6): 108-113.
GU T Y, GAO Y P, WU C, et al.Voltage flicker parameter detection based on energy operator and six cosine window spectrum correction[J]. Electrical measurement & instrumentation, 2020, 57(6): 108-113.
[12] 尹国明, 陈克绪, 高云鹏, 等. Teager-Kaiser能量算子Blackman-Harris窗三谱线插值的电压闪变参数检测[J]. 电测与仪表, 2019, 56(4): 8-14.
YIN G M, CHEN K X, GAO Y P, et al.Flicker parameters detection using the Teager-Kaiser energy operator based on Biackman-Harris window and triple spectrum line interpolation[J]. Electrical measurement & instrumentation, 2019, 56(4): 8-14.
[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.
CHEN Z H, WANG L D, WANG C, 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.
[14] 张超, 王维庆, 王海云, 等. 新能源汇集地区次同步谐波检测方法的研究[J]. 太阳能学报, 2020, 41(9): 104-113.
ZHANG C, WANG W Q, WANG H Y, et al.Study on sub-synchronous harmonic detection method in dense new energy areas[J]. Acta energiae solaris sinica, 2020, 41(9): 104-113.
[15] 曾巧燕, 杨洪耕, 王泽, 等. 全相位谱法在闪变检测中的应用[J]. 电力系统及其自动化, 2017, 29(4): 66-71.
ZENG Q Y, YANG H G, WANG Z.Application of all-phase spectrum method to flicker detection[J]. Proceedings of the CSU-EPSA, 2017, 29(4): 66-71.