Scenario-based analysis and probability assessment of sub-synchronous oscillation caused by wind farms with direct-driven wind generators

作     者：Zhi AN Chen SHEN Zetian ZHENG Feng LIU Xiaoqing CHANG Wei WEI 

作者机构：Department of Electrical EngineeringTsinghua UniversityBeijingChina China State Key Laboratory of Power System and Generation EquipmentBeijingChina Electric Power Research Institute of Sichuan Electric Power CompanyChengduChina 

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2期

页      面：243-253页

核心收录：

学科分类：08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：supported in part by National Natural Science Foundation of China (No. U1766206  No. 51677098  and No. 51621065) 

主　　题：Direct-driven wind generator Subsynchronous oscillation Probabilistic assessment Randomness 

摘      要：Recently, explanations of the sub-synchronous oscillation(SSO) caused by wind farms based on directdriven wind generators(DDWGs) have been published in the literatures, in which the controller parameters of DDWGs and the system equivalent parameters play an important role. However, more than one set of parameters can cause weakly damped sub-synchronous modes. The most vulnerable and highly possible scenario is still unknown. To find scenarios that have potential oscillation risks, this paper proposes a small disturbance model of wind farms with DDWGs connected to the grid using a state-space modeling technique. Taguchi’s orthogonal array testing is introduced to generate different *** scenarios with different parameter settings that may lead to SSOs are found. A probabilistic analysis method based on the Gaussian mixture model is employed to evaluate the consistency of these scenarios with the actual accidents. Electromagnetic transient simulations are performed to verify the findings.