Enhancement of SVC performance in flicker mitigation of wind farms. Issue 15 (3rd October 2017)

• Record Type: Journal Article
• Authors: Samet, Haidar; Bagheri, Ali Asghar
• Is Part Of: IET generation, transmission & distribution. Volume 11:Issue 15(2017)
• Page Start: 3823
• Page End: 3834
• Publication Date: 2017-10-03
• Subjects: static VAr compensators -- power supply quality -- wind power plants -- reactive power -- autoregressive moving average processes; SVC performance enhancement -- flicker mitigation -- output active powers -- static VAr compensators -- reactive power variations -- reactive power measurement -- thyristor ignition circuit -- Manjil wind farm -- autoregressive moving average models -- ARMA model -- model adequacy checking -- instantaneous flicker sensation -- short term flicker; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2016.1822
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : The output active and reactive powers of wind farms are highly time‐varying even in extremely short time periods which cause flicker. In many wind farms static VAr compensators (SVCs) are employed to mitigate this flicker. In this study it is shown that reactive power variations of wind farms are even faster than those which can be fully compensated by SVC. This inability of SVCs comes from the delays in the reactive power measurement and thyristor ignition circuit. To overcome this limitation, the reactive power of a wind farm is predicted for a half cycle (10 ms) ahead. Large numbers of data were recorded from the Manjil wind farm in different weather conditions. Auto regressive moving average (ARMA) models were used for the prediction, and model adequacy checking was employed to determine the best ARMA model order. To evaluate the performance of proposed method, with a novel procedure the wind farm is simulated using the actual recorded data. The instantaneous flicker sensation and short term flicker were calculated and compared for three cases; without SVC, using SVC with the traditional control method, and using SVC with the proposed prediction method. The results confirm the superiority of the proposed technique.