Conjoint analysis of crowbar switching scheme and its resistancebased on statistical sampling for LVRT of DFIG

作     者：Yanbin QU Le GAO Guangfu MA Huihui SONG Shitao WANG 

作者机构：School of Information and Electrical EngineeringHarbin Institute of Technology at WeihaiNo.2West Wenhua RoadWeihai 264209China Department of Control Science and EngineeringHarbin Institute of TechnologyNo.92West Dazhi StreetNangang DistrictHarbin 150001China State Grid of China Technology CollegeNo.500ErhuanSouth RdJinanChina 

出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)

年 卷 期：2019年第7卷第3期

页      面：558-567页

核心收录：

学科分类：080801[工学-电机与电器] 0808[工学-电气工程] 08[工学] 

基　　金：supported by the National Natural Science Foundation of China (No. 61773137, No. 61403099) the National Natural Science Foundation of Shandong Province (No. 2014BSA10007, No. 2014J14LN92) 

主　　题：Doubly-fed induction generator(DFIG) Active crowbar Switching scheme Resistance value Statistical sampling data 

摘      要：An active crowbar protective circuit is an effective and common approach for low voltage ride through(LVRT) of a doubly-fed induction generator(DFIG). The crowbar resistance value and its switching scheme both have crucial effects on safety recovery. The effects encountered are correlative dependence and interplay so that analyzing them from a single factor, as most existing LVRT control methods would do, obtains a partial optimal solution. This paper combines these two factors toanalyze their coordination effects on the LVRT control,and to also investigate whether the global optimal performance of these factors can be achieved. The principles for resistance selection and the schemes for crowbar switching are discussed first. Next, the coupling relationship is ana-lyzed based on statistical sampling simulation data with different resistance values and various switching *** results demonstrate that their coordination has critical influence on rotor peak current, DC-link voltage and reactive power. The optimal coordination will be different according to specific requirements. Hence the global optimal combination could be achieved when all requirements are taken into consideration.