电力系统自动化2024，Vol.48Issue(8)：111-121,11.DOI:10.7500/AEPS20230820002
电网故障下含直驱风电机组的电力系统频率动态响应分析
Analysis of Dynamic Frequency Response for Power Systems with Direct-drive Wind Turbines Under Power Grid Fault
摘要
Abstract
Model analysis based frequency response analysis after the power disturbance is important for the security assessment and emergency control of power systems.When the power grid fault occurs,the magnitude drop of the grid-connected voltage of direct-drive wind turbine(DDWT)causes the transient response of the controller.Meanwhile,the sudden change in the voltage phase triggers the transient response of the phase-locked loop(PLL),which generates the power control error through the converter control conduction.And the power control error may lead to a large deviation in the existing frequency characteristic analysis targeting the sudden load change scenarios.Therefore,a quantification method for the phase-locked deviation of DDWT under the power grid fault is proposed.The conduction paths of phase-locked deviation through converter control of DDWT are analyzed.Also,the mechanism and calculation method for the power control error of DDWT caused by the transient response of the PLL are proposed.The frequency response model of the power system with DDWT under the power grid fault is established,and the calculation method for the rate of change of frequency and the maximum frequency deviation under the influence of the transient response of the PLL is proposed.The frequency dynamic response characteristics of the power system considering the power control error of DDWT under the power grid fault are analyzed.Finally,the effectiveness of the proposed method is verified through case studies.关键词
直驱风电机组(DDWT)/频率动态响应/电网故障/锁相环/暂态响应/功率控制Key words
direct-drive wind turbine(DDWT)/frequency dynamic response/power grid fault/phase-locked loop(PLL)/transient response/power control引用本文复制引用
欧阳金鑫,余建峰,张澳归,皇甫百香,姚骏..电网故障下含直驱风电机组的电力系统频率动态响应分析[J].电力系统自动化,2024,48(8):111-121,11.基金项目
国家自然科学基金资助项目(51877018) （51877018）
重庆市研究生科研创新项目(CYB22019). This work is supported by National Natural Science Foundation of China(No.51877018)and Graduate Research and Innovation Foundation of Chongqing,China(No.CYB22019). （CYB22019）
