【導讀】風能轉(zhuǎn)換系統(tǒng)是非常不同的性質(zhì)與傳統(tǒng)發(fā)電機組。因此，動態(tài)研究必須加以。解決，以便將風力為動力系統(tǒng)。這使獲得一個廣泛的網(wǎng)格組件，以及相關的風力機模型。電力網(wǎng)絡是一個復雜的系統(tǒng)，這是容易受到干擾。它會在轉(zhuǎn)子附近產(chǎn)生故障，導致這些機器的轉(zhuǎn)速和功率在。當短路清除斷開故障，發(fā)電機，加速將減速，回到同步與其他系統(tǒng)。因此，臨界清除時間是最大的時間間隔，故障必須清除，以維護系統(tǒng)的穩(wěn)。毫無疑問的是，風力將發(fā)揮主導作用，增加國家電網(wǎng)的清潔無污染能源。三相故障應用到14個總線測試系統(tǒng)，通過斷開和清除影響線。真測試系統(tǒng)在電網(wǎng)故障期間使用的電力系統(tǒng)分析工具箱（部分）。振蕩的一組發(fā)電機故障暫態(tài)行為分析觀察下列情況：。節(jié)距角均有關系，是葉尖速比和槳葉節(jié)距角的函數(shù)。葉尖速比是葉尖速度除。本文主要類型的風力渦輪機是：。接到發(fā)電機通過變速箱?？勺兯俣蕊L力渦輪機與繞線轉(zhuǎn)子異步發(fā)電機（圖1b）–雙饋感應發(fā)電機（雙）。風力渦輪機的2兆瓦的機

　　

【正文】 transit behavior of system [11]. Table 4. CCT for different rates of wind power peration Rate of wind sources peration (%) ≥ 22 Installed capacity of Wind sources (MW) ≥172 CCT (ms) 271 229 151 97 00 From the results, it is concluded that the effect of wind power on power system oscillations depends on the rate of wind power peration, it has been proven that a high level of wind power peration such in our case study is must be lower than 22 % of total grid power, otherwise the test system lost its stability. Conclusion This paper has mainly focused on the assessment of the angular stability by determinate a critical clearing time (CCT), This was done by observing the behavior of speed generators of the test system included a three phase fault when changing several parameters. According to previously simulations, the following conclusions are obtained: ???There is no general statement possible, if wind generation improves transient stability margins or if the impact is rather negative. The answer depends on location of wind resources and the problem has to be analyzed individually for each case. ? The effect of type of generator technology in transit stability is very significant and the DFIG generator presents more performance than a squirrel cage induction generator. ? It has been proven that a high level of wind power peration destabilize the power system when a very large part of the synchronous generation capacity is replaced by wind power. Finally, it very important to note that a calculation of a critical clearing time (CCT) in all previous simulations was done by several times which represent a wasting of effort and time so a numerical method of putation of (CCT) is very required for such transit stability studies. References 1. Sun T., Chen Z., Blaabjerg F., Voltage recovery of gridconnected wind turbines after a shortcircuit fault, Annual Conference of the IEEE Industrial Electronics Society, Virginia, USA, 2020. 2. Saffet Ayasun, Yiqiao Liang, Chika O. Nwankpa, A sensitivity approach for putation of the probability density function of critical clearing time and probability of stability in power system transient stability analysis, Applied Mathematics and Computation, 2020, p. 563. 3. Salman S. K., Teo A. L. I., Investigation into the Estimation of the Critical Clearing Time of a Grid Connected Wind Power Based Embedded Generator, Proceedings of the IEEE/PES transmission and distribution Conference and exhibition 2020, Asia Pacific Pucific, Vol. 11, 2020, p. 975980. 4. Jauch C., S248。rensen P., Norheim I., Rasmussen C. Simulation of the Impact of Wind Power on the Transient Fault Behavior of the Nordic Power System, Electric Power Systems Research, VOL: article in press, available online 24 March, 2020, p. 135144. 5. Federico Milano, Power System Analysis Toolbox Documentation for PSAT version β1, July 9, 2020. 6. Soerensen P., Hansen ., Pedro Andre Carvalho Rosas, Wind Models for Prediction of Power Fluctuations of Wind Farms, J. Wind Eng. Ind. Aerodyn, 2020, 90, p. 13811402. 7. Tang Hong, WuJunling, Zhou Shuangxi, Modeling and Simulation for Small Signal Stability Analysis of Power System Containing Wind Farm, J. Power System Technology, 2020, 28(1), 3841. 8. Hansen ., S248。rensen P., Iov F., Blaabjerg F., Initialisation of GridConnected Wind Turbine Models in PowerSystem Simulations, Wind Engineering, 2020, 27(1), p. 2138. 9. Nandigam K., Chowdhury B. H., Power flow and stability models for induction generators used in wind turbines, IEEE Power Engineering Society General Meeting, 2020, 2, p. 20202020. 10. Hansen A. D., Michalke G., Fault ridethrough capability of DFIG wind turbines, Renewable Energy, 2020, 32, p. 15941610. 11. Ha L. T., Saha T. K., Investigation of Power Loss and Voltage Stability Limits for Large Wind Farm Connections to a Subtransmission Network, Power Engineering Society General Meeting, 2020, 2, p. 22512256.