基于瞬时功率的次同步振荡频率提取及振荡源识别方法

doi:10.19595/j.cnki.1000-6753.tces.220279

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摘要

大规模新能源并网引发的次同步振荡严重威胁电网的安全稳定运行。为满足次同步振荡在线告警需求,需要分析宽频测量数据并快速提取振荡分量,快速检测到次同步振荡并精准切除振荡源已是迫切需要解决的关键技术。该文推导了对称和不对称三相电路中含有次同步频率电源时的瞬时功率表达式,揭示了瞬时功率主要为恒定功率分量和次同步频率的交变功率量;在此基础上,提出基于整周期瞬时功率差的次同步振荡频率提取方法,相比于快速傅里叶变换的计算速度大幅提升,避免了栅栏效应和频谱泄露问题;并提出了利用半周期瞬时功率差的次同步振荡源识别方法,可以对多风电场集中并网系统进行次同步振荡源定位,进而为精准切机提供支撑;时域仿真结果表明,该文提出的次同步振荡频率提取方法的计算速度相比快速傅里叶变换有显著提升,振荡源机组辨识方法具有较高的精度。

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	徐衍会
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关键词 ：风电场, 次同步振荡, 瞬时功率, 振荡频率提取, 振荡源识别

Abstract：

The subsynchronous oscillation has been a dynamic stability problem that threatens the safe and stable operation of power systems, and serious subsynchronous oscillation events have occurred frequently in recent years around the world. Therefore, it is important to promptly extracting the oscillation components and precisely remove the oscillation source by monitoring the wide-frequency measurement data online. Most of conventional subsynchronous component extraction methods, however, have sluggish calculation times and low calculation accuracy, making it challenging to meet the oscillation monitoring demands of a wide-frequency measurement system. To address these issues, this paper suggests a method of calculating instantaneous power using the voltage and current from the wide-frequency measurement system, realizing the extraction of the frequency of the subsynchronous oscillation and the identification of the oscillation source.
Based on the instantaneous power from the measured data, the analytical formulas for the multimodal subsynchronous power of a doubly-fed induction generator grid-connected system were derived in this article. The major components of the subsynchronous power were extracted in the three-phase symmetric and asymmetric situations. Afterwards, using the features of the alternating power component in the main component of subsynchronous power, it was suggested to develop a frequency extraction method based on the whole-cycle instantaneous power difference. This method is faster and more accurate than the traditional method, avoiding the picket fence effect and spectrum leakage issues. Additionally, a method of the identification for subsynchronous oscillation source utilizing half-cycle instantaneous power difference was proposed based on the subsynchronous frequency extraction. This method can locate the subsynchronous oscillation source for the centralized gridconnected system of multiple wind farms and support for cutting machines.
To validate the suggested method, a doubly-fed induction generator was simulated in PSCAD by incorporating it into an infinite grid model using series complementation. The frequency extraction was carried out for the of three-phase symmetric and asymmetric situations in the subsynchronous frequency extraction example. When comparing the FFT analysis results, it shows that the instantaneous power-based frequency extraction results have good accuracy. For every 5 s increase in the studied time series, the computing time of the approach in this study grows by roughly 0.3 ms while the FFT method increases by about 2 ms, the difference between which is an order of magnitude. The result demonstrates how the suggested approach has clear advantages in the processing performance. Meantime, the approach reduces the possibility of spectrum leakage caused by discontinuous sampling endpoints in FFT analysis, and permits variable selection of truncation points for measurement data. The oscillation source identification was done for two scenarios in the multi-machine synchronous oscillation source identification examples: single oscillation source and multi-oscillation source. The simulations demonstrate that the voltage and current at the subsynchronous frequency of the generator where the oscillation source is located are larger than those at other generators. As a result, the corresponding half-cycle instantaneous power difference at the subsynchronous frequency has a larger amplitude. The findings can be used to accurately identify the oscillation source generators in the centralized grid-connected system of multiple wind farms. Furthermore, the magnitude of the absolute mean value of the half-cycle instantaneous power difference can be used to rank the significance of the oscillation sources and to rationally plan emergency response actions in the event of subsynchronous oscillations.
The simulated analysis leads to the following conclusions: (1) The primary elements of the instantaneous power in the symmetric and asymmetric three-phase circuits are a constant power component and an alternating power component of subsynchronous frequency when the subsynchronous oscillation occurs in the wind power grid-connected system. (2) The frequency corresponding to the smallest absolute mean value of the whole-cycle instantaneous power difference is the subsynchronous oscillation frequency, based on which this paper suggests a method for extracting the subsynchronous oscillation frequency. The approach can avoid the picket fence effect problem and offers improved calculation accuracy and speed compared to FFT. (3) The oscillation source, the wind generator, in the centralized grid-connected system of multiple wind farms can be detected because the half-cycle instantaneous power difference of the oscillation source generator at the subsynchronous sampling period is the biggest.

Key words： Wind farms subsynchronous oscillation instantaneous power oscillation frequency extraction oscillation source identification

收稿日期: 2022-02-28

PACS:

TM712

基金资助:

国家重点研发计划资助项目（2021YFB2400800）

通讯作者: 徐衍会男,1978年生,教授,博士生导师,研究方向为动态电力系统分析与负荷建模。E-mail：xuyanhui23@sohu.com

作者简介: 成蕴丹女,1999 年生,硕士研究生,研究方向为风电并网系统次同步振荡。E-mail：yundan@ncepu.edu.cn

引用本文:

徐衍会, 成蕴丹, 刘慧, 高镱滈. 基于瞬时功率的次同步振荡频率提取及振荡源识别方法[J]. 电工技术学报, 0, (): 154-154. Xu Yanhui, Cheng Yundan, Liu Hui, Gao Yihao. Subsynchronous Oscillation Frequency Extraction and Oscillation Source Identification Method Based on Instantaneous Power. Transactions of China Electrotechnical Society, 0, (): 154-154.

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