微弱次同步振蕩模態(tài)參數(shù)的在線實(shí)時(shí)辨識(shí)方法
發(fā)布時(shí)間:2018-05-15 20:17
本文選題:次同步振蕩 + 微弱信號(hào) ; 參考:《中國電機(jī)工程學(xué)報(bào)》2017年S1期
【摘要】:提出一種基于環(huán)境噪聲激勵(lì)響應(yīng)的微弱次同步振蕩模態(tài)參數(shù)在線辨識(shí)方法。將其用于電力系統(tǒng)正常運(yùn)行中的轉(zhuǎn)子旋轉(zhuǎn)振動(dòng)響應(yīng)和電網(wǎng)側(cè)電氣響應(yīng),從中提取出反映次同步振蕩各模態(tài)特征的單自度自由響應(yīng)分量;進(jìn)而利用Ibrahim時(shí)域模態(tài)辨識(shí)法計(jì)算出各模態(tài)的頻率和阻尼系數(shù)等參數(shù)。研究了用于獲取自由響應(yīng)分量的隨機(jī)減量技術(shù)的關(guān)鍵參數(shù),給出門檻值和子樣本長度的推薦值,從而提高了模態(tài)阻尼的辨識(shí)精度。通過對多模態(tài)微弱響應(yīng)信號(hào)進(jìn)行模態(tài)預(yù)分離,從而保證幅值相差很大時(shí)的小幅值模態(tài)無缺失,提高了模態(tài)辨識(shí)的可靠性。利用上述方法和步驟,從新疆哈密地區(qū)機(jī)網(wǎng)正常運(yùn)行中的環(huán)境激勵(lì)響應(yīng)中辨識(shí)出微弱次同步振蕩模態(tài)的阻尼因子等參數(shù),并實(shí)現(xiàn)對模態(tài)阻尼趨勢的在線連續(xù)實(shí)時(shí)辨識(shí),尤其在當(dāng)前大規(guī)模新能源并網(wǎng)背景下,能夠及時(shí)發(fā)現(xiàn)影響系統(tǒng)穩(wěn)定運(yùn)行的關(guān)鍵環(huán)節(jié),為切實(shí)做好廣域動(dòng)態(tài)穩(wěn)定工作奠定基礎(chǔ)。
[Abstract]:An on-line identification method of weak subsynchronous oscillation modal parameters based on ambient noise excitation response is proposed. It is applied to rotor rotation vibration response and grid side electrical response in normal operation of power system, and the single self free response component which reflects the characteristics of each mode of subsynchronous oscillation is extracted from it. Then the frequency and damping coefficient of each mode are calculated by Ibrahim time domain modal identification method. The key parameters of random decrement technique for obtaining free response components are studied, and the threshold values and the recommended values of sub-sample length are given to improve the identification accuracy of modal damping. The multi-modal weak response signal is preseparated to ensure that there is no missing of the small mode when the amplitude is very different and the reliability of modal identification is improved. Using the above methods and steps, the parameters such as damping factor of weak sub-synchronous oscillation mode are identified from the environmental excitation response of the machine network in Hami area, Xinjiang, and the on-line continuous real-time identification of modal damping trend is realized. Especially under the background of large-scale new energy grid connection, the key links that affect the stable operation of the system can be found in time, which lays the foundation for doing well the work of wide area dynamic stability.
【作者單位】: 北京信息科技大學(xué)自動(dòng)化學(xué)院;北京四方繼保自動(dòng)化股份有限公司;
【基金】:國家自然科學(xué)基金項(xiàng)目(51477010)~~
【分類號(hào)】:TM712
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