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基于能量算子和最大旁瓣衰减自卷积窗函数频谱校正的电压闪变参数识别技术及其在风电场的应用研究

本站小编 Free考研考试/2022-01-03

邱衍江1,,,
张超2,
张新燕3,
王维庆3
1.澳门科技大学资讯科技学院 澳门 999078
2.广东电网有限责任公司广州供电局 广州 510620
3.可再生能源发电与并网技术教育部工程研究中心(新疆大学电气工程学院) 乌鲁木齐 830047
基金项目:国家科学自然基金(51667018)

详细信息
作者简介:邱衍江:男,1992年生,博士生,研究方向为电能质量分析
张超:男,1993年生,硕士,研究方向为电力系统次/超同步谐波检测技术
张新燕:女,1964年生,教授,博士生导师,研究方向为电力系统自动化和风力发电机组的智能控制
王维庆:男,1959年生,教授,博士生导师,研究方向为电力系统自动化和风力发电机组的智能控制
通讯作者:邱衍江 XinJiangJuck@163.com
中图分类号:TN76; TM712

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文章访问数:279
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被引次数:0
出版历程

收稿日期:2020-07-24
修回日期:2021-01-24
网络出版日期:2021-02-06
刊出日期:2021-08-10

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

Yanjiang QIU1,,,
Chao ZHANG2,
Xinyan ZHANG3,
Weiqing WANG3
1. Faculty of Information Technology, Macau University of Science and Technology, Macau 999078, China
2. Guangzhou Power Supply Bureau, Guangdong Power Grid, Co., Ltd., Guangdong 510620, China
3. Engineering Research Center for Renewable Energy Power Generation & Grid Technology Approved by Education Ministry for its Establishment under College of Electrical Engineering, Xinjiang University, Urumqi 830047, China
Funds:The National Natural Science Foundation of China(51667018)


摘要
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。
关键词:电压闪变/
矩形波调制/
包络参数识别/
改进能量算子/
自卷积窗/
谱线插值
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.
Key words:Voltage flicker/
Rectangular wave modulation/
Envelope parameters detection/
Improved energy operator/
Self-Convolution Window (SCW)/
Spectral line interpolation



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