TS Fuzzy Prediction-based SVC Compensation of Wind Farms Flicker: A Dual-UKF Approach

Saeedeh Ketabipour; Haidar Samet; Navid Vafamand

doi:10.17775/CSEEJPES.2020.05110

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TS Fuzzy Prediction-based SVC Compensation of Wind Farms Flicker: A Dual-UKF Approach

Regular Papers | 更新时间：2026-10-15

- TS Fuzzy Prediction-based SVC Compensation of Wind Farms Flicker: A Dual-UKF Approach
- TS Fuzzy Prediction-based SVC Compensation of Wind Farms Flicker: A Dual-UKF Approach
- 中国电机工程学会电力与能源系统学报(英文) 2022年8卷第6期页码：1594-1602
- 作者机构：
  
  1. School of Electrical and Computer Engineering, Shiraz University, Shiraz,Iran
  2. Department of Electrical Engineering, Eindhoven University of Technology,Eindhoven,the Netherlands
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2020.05110
  中图分类号：
- 纸质出版：2022-11-01
- 稿件说明：
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Saeedeh Ketabipour, Haidar Samet, Navid Vafamand. TS Fuzzy Prediction-based SVC Compensation of Wind Farms Flicker: A Dual-UKF Approach[J]. 中国电机工程学会电力与能源系统学报(英文), 2022,8(6):1594-1602.

Saeedeh Ketabipour, Haidar Samet, Navid Vafamand. TS Fuzzy Prediction-based SVC Compensation of Wind Farms Flicker: A Dual-UKF Approach[J]. CSEE Journal of Power and Energy Systems, 2022, 8(6): 1594-1602.
Saeedeh Ketabipour, Haidar Samet, Navid Vafamand. TS Fuzzy Prediction-based SVC Compensation of Wind Farms Flicker: A Dual-UKF Approach[J]. 中国电机工程学会电力与能源系统学报(英文), 2022,8(6):1594-1602. DOI： 10.17775/CSEEJPES.2020.05110.

Saeedeh Ketabipour, Haidar Samet, Navid Vafamand. TS Fuzzy Prediction-based SVC Compensation of Wind Farms Flicker: A Dual-UKF Approach[J]. CSEE Journal of Power and Energy Systems, 2022, 8(6): 1594-1602. DOI： 10.17775/CSEEJPES.2020.05110.

摘要

Abstract

Fast fluctuations in wind farm power produce voltage flicker in the network. One way to mitigate the flicker is to place a static VAr compensator (SVC). Due to the operating delay of SVCs

it is essential to predict the wind farm reactive power. Here

a novel fuzzy nonlinear modeling approach is suggested and used in the one-step-ahead prediction of the power characteristics. The base of the developed fuzzy modeling is the Takagi-Sugeno fuzzy representation and a dual-unscented Kalman filter (D-UKF). In other words

a nonlinear TS fuzzy system is trained online via the D-UKF. The forecasted value is used as the SVC's reference signal. A large amount of actual data gathered from a wind farm is used for the performance evaluation. This data is collected in winter and summer for different climate situations. Using the actual data

a current source with changing amplitude and phase which is updated every half-cycle

is used to model the wind farm. Numerical results

including the flicker indices

confirm the improvement in the SVC's performance.

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references

10. T. ( 2007, Sep. 27 ). Static VAr compensator from Siemens stabilizes high-voltage transmission network in Denmark . [Online ] . Available: https://www.tdworld.com/overhead-transmission/article/20958769/static-var-compensator-from-siemens-stabilizes-highvoltage-transmission-network-in-denmark.

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