电力系统自动化2025，Vol.49Issue(9)：175-186,12.DOI:10.7500/AEPS20240207003
考虑疲劳载荷的双馈风电机组自适应LQG一次调频控制策略
Adaptive Linear Quadratic Gaussian Primary Frequency Regulation Control Strategy for Doubly-fed Wind Turbines Considering Fatigue Loads
摘要
Abstract
In view of the problem that the fatigue loads of doubly-fed wind turbines will significantly increase when participating in the power system frequency regulation,an adaptive linear quadratic Gaussian(LQG)primary frequency regulation control strategy for doubly-fed wind turbines considering fatigue loads is proposed.Two linearized doubly-fed wind turbine frequency regulation models are constructed using the small-signal method,one below the rated wind speed and the other above the rated wind speed.The expected output power of the wind turbines is determined by the inertial response and static droop characteristics of the equivalent synchronous generator.A performance index function with the goal of minimizing the difference between the expected output power and the actual output power of the wind turbine,as well as the fatigue load,is constructed.The optimal frequency regulation power of the doubly-fed wind turbine is obtained by quickly iterating the Riccati equation to solve the performance index function in real-time,thereby achieving primary frequency regulation control while reducing the fatigue load of the doubly-fed wind turbine.In addition,a method for adaptively adjusting the weight of the performance index function according to the remaining rotor kinetic energy and frequency deviation is proposed to further optimize the frequency regulation capability of the doubly-fed wind turbines.The simulation results show that the proposed strategy can effectively improve the frequency regulation capability of doubly-fed wind turbines while reducing the fatigue load of the turbines.关键词
双馈风电机组/一次调频/疲劳载荷/线性二次型高斯(LQG)/自适应Key words
doubly-fed wind turbine/primary frequency regulation/fatigue load/linear quadratic Gaussian/adaptivity引用本文复制引用
刘军,全哲辰,朱世祥,武培东..考虑疲劳载荷的双馈风电机组自适应LQG一次调频控制策略[J].电力系统自动化,2025,49(9):175-186,12.基金项目
陕西省重点研发计划资助项目(2021GY-106) （2021GY-106）
陕西省教育厅科学研究计划项目(JK725). This work is supported by Key R&D Program of Shaanxi Province(No.2021GY-106)and Scientific Research Program of Shaanxi Provincial Department of Education(No.JK725). （JK725）
