發(fā)布時間：2018-07-22 21:25

【摘要】：為了提高級聯(lián)H橋靜止無功發(fā)生器(SVG)的動態(tài)性能和跟蹤精度,提出了一種改進的無差拍控制方法。首先建立了級聯(lián)H橋在dq坐標(biāo)系下的數(shù)學(xué)模型和離散狀態(tài)方程,然后在傳統(tǒng)的無差拍控制算法的基礎(chǔ)上分別設(shè)計了新的狀態(tài)觀測器對電流和電壓進行觀測。在常規(guī)離散狀態(tài)觀測器的基礎(chǔ)上,預(yù)先計算設(shè)置的中間變量,提前預(yù)測下一拍指令電流,從而減小控制延時。并采用了改進的重復(fù)預(yù)測算法預(yù)估輸出電壓以提高電壓跟蹤精度。最后,搭建了級聯(lián)H橋SVG的MATLAB仿真模型和10 k V等級的系統(tǒng)試驗樣機,并與常規(guī)狀態(tài)觀測器算法進行了對比仿真實驗。結(jié)果表明:與常規(guī)狀態(tài)觀測器相比,采用所提出的改進無差拍控制算法得到的電網(wǎng)電流總諧波失真(THD)數(shù)值從3.21%減小到1.18%;該算法在有效提高系統(tǒng)的跟蹤精度和動態(tài)響應(yīng)速度的同時,深度消除了采樣延時所帶來的跟蹤滯后問題,有效提高系統(tǒng)的無功補償性能。
[Abstract]:In order to improve the dynamic performance and tracking accuracy of cascaded H-bridge static Var Generator (SVG), an improved beat control method is proposed. Firstly, the mathematical model and discrete state equation of cascaded H bridge in dq coordinate system are established, and then a new state observer is designed to observe the current and voltage based on the traditional deadbeat control algorithm. Based on the conventional discrete state observer, the intermediate variables are calculated in advance, and the next instruction current is predicted in advance, thus reducing the control delay. An improved repetitive prediction algorithm is used to estimate the output voltage to improve the precision of voltage tracking. Finally, the MATLAB simulation model of cascaded H bridge SVG and the 10 kV system test prototype are built, and the simulation results are compared with the conventional state observer algorithm. The results show that, compared with the conventional state observer, The total harmonic distortion (THD) value obtained by using the improved deadbeat control algorithm is reduced from 3.21% to 1.18%. This algorithm can effectively improve the tracking accuracy and dynamic response speed of the system. The depth eliminates the tracking delay caused by the sampling delay and improves the reactive power compensation performance of the system effectively.
【作者單位】： 哈爾濱工業(yè)大學(xué)電氣工程系;黑龍江科技大學(xué)電氣與控制工程學(xué)院;
【基金】：國家自然科學(xué)基金重點項目(51237002);國家自然科學(xué)基金青年基金(51407043) 哈爾濱科技創(chuàng)新人才研究專項資金青年后備人才項目(2016RAQXJ035) 臺達電力電子科教發(fā)展計劃重大項目(DREM2012001);臺達電力電子科教發(fā)展計劃項目(DREG2014015)~~
【分類號】：TM761

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