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并聯(lián)型有源電力濾波器諧波檢測與補償方法研究

發(fā)布時間:2018-08-27 17:02
【摘要】:近幾十年來,隨著工業(yè)技術(shù)的不斷發(fā)展,電力電子器件裝置及其他非線性裝置的大量使用,使得電力系統(tǒng)的諧波污染問題變得日益嚴重,嚴重威脅電力系統(tǒng)運行安全。有源電力濾波器(APF)作為一種高效治理諧波的電力電子裝置得到了愈來愈廣泛的關(guān)注。 本文首先闡述了諧波產(chǎn)生的背景及對電氣設(shè)備的危害、諧波的抑制方法、有源電力濾波器的國內(nèi)外發(fā)展情況、分類及并聯(lián)型有源電力濾波器的基本工作原理,簡要的介紹了幾種諧波電流檢測算法及補償電流跟蹤控制策略。 諧波電流檢測算法的實時性及準確性是決定有源電力濾波器工作性能的關(guān)鍵之一。本文在詳細分析和對比當今較為常用的幾種諧波電流檢測算法的基礎(chǔ)上,決定采用自適應(yīng)諧波電流檢測算法。鑒于傳統(tǒng)的自適應(yīng)諧波電流檢測算法反饋信號中夾雜著大量的諧波,降低了系統(tǒng)的檢測精度。為克服這種缺點,本文采用誤差反饋濾波器對其進行濾波,提高了系統(tǒng)的穩(wěn)態(tài)精度。另外,為了使系統(tǒng)能夠快速收斂,本文采用2階迭代變步長算法,并以負載電流相鄰兩個基波周期的差值作為補償調(diào)節(jié)的一部分,使算法在負載突變時也能夠具有較快的跟蹤速度。并在MatLab/Simulink環(huán)境中建立了諧波電流檢測系統(tǒng)的仿真模型,通過仿真,驗證了算法的有效性。 簡要分析了滯環(huán)電流控制與空間矢量控制(SVPWM)的優(yōu)缺點,結(jié)合兩者的優(yōu)點,本文采用基于空間矢量的雙滯環(huán)電流控制策略。針對諧波電流檢測算法存在大概一個采樣周期的延遲,本文采取拉格朗日插值算法,根據(jù)過去的諧波電流檢測值來預(yù)測下一個采樣周期諧波電流值,算法簡單,利于實現(xiàn)系統(tǒng)的無差拍跟蹤控制。最后,本文搭建了在MatLab/Simulink環(huán)境下的有源電力濾波器仿真模型,對比了三種不同控制策略的補償效果,仿真結(jié)果表明,采用空間電壓矢量雙滯環(huán)電流控制策略的有源電力濾波器仿真具有開關(guān)頻率較低,補償精度高等優(yōu)點,能夠起到較好的抑制諧波電流的作用,具有良好的動態(tài)補償性能。
[Abstract]:In recent decades, with the continuous development of industrial technology, the power electronic devices and other nonlinear devices are widely used, which makes the harmonic pollution of power system become more and more serious, which seriously threatens the safety of power system operation. Active power filter (APF), as an efficient power electronic device for harmonic control, has received more and more attention. In this paper, the background of harmonic generation and its harm to electrical equipment, the method of harmonic suppression, the development of active power filter at home and abroad, the classification and the basic working principle of shunt active power filter are described. Several harmonic current detection algorithms and compensation current tracking control strategies are briefly introduced. The real-time and accuracy of harmonic current detection algorithm is one of the key factors to determine the performance of active power filter (APF). Based on the detailed analysis and comparison of several harmonic current detection algorithms, the adaptive harmonic current detection algorithm is adopted in this paper. In view of the large amount of harmonics in the feedback signal of the traditional adaptive harmonic current detection algorithm, the detection accuracy of the system is reduced. In order to overcome this shortcoming, the error feedback filter is used to filter the system, which improves the steady-state accuracy of the system. In addition, in order to make the system converge quickly, the two-order iterative variable step size algorithm is adopted, and the difference between the two fundamental periods of the load current is used as a part of the compensation adjustment. So that the algorithm can also have a faster tracking speed when the load changes. The simulation model of harmonic current detection system is established in MatLab/Simulink environment, and the validity of the algorithm is verified by simulation. The advantages and disadvantages of hysteresis current control and space vector control (SVPWM) are briefly analyzed. Combining the advantages of the two methods, a double hysteresis current control strategy based on space vector is adopted in this paper. In this paper, Lagrange interpolation algorithm is used to predict the harmonic current value of the next sampling period according to the previous harmonic current detection value. The algorithm is simple. It is propitious to realize the non-beat tracking control of the system. Finally, the simulation model of active power filter under MatLab/Simulink environment is built, and the compensation effect of three different control strategies is compared. The simulation results show that, The simulation of active power filter using space voltage vector double hysteresis current control strategy has the advantages of low switching frequency and high compensation accuracy. It can restrain harmonic current and has good dynamic compensation performance.
【學(xué)位授予單位】:西南交通大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TM761;TN713.8

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