电力系统保护与控制2024，Vol.52Issue(16)：37-48,12.DOI:10.19783/j.cnki.pspc.231363
考虑虚拟控制参数调节的风储联合调频优化模型预测控制
Combined wind-storage system frequency regulation optimization model predictive control considering virtual control parameter adjustment
摘要
Abstract
To improve the frequency stability of the power grid after large-scale wind power integration,and reduce the frequency regulation cost of the wind-storage system,an optimal model predictive control strategy considering virtual control parameter adjustment is proposed.First,considering the effect of the energy storage system on the inertia level and damping capacity of the power grid,the hyperbolic tangent function is adopted to adaptively adjust the virtual control parameters of the energy storage system to meet the frequency regulation requirements in different periods.Secondly,the prediction model is established based on the state equations of the wind-storage system,and the adaptive model predictive control strategy is designed with the minimum frequency deviation and frequency regulation cost as the control objectives.Finally,a simulation model is built to compare and analyze the effects of different control strategies in step and continuous load disturbance conditions.The results show that the proposed control strategy can effectively improve the frequency regulation effect of the power grid,optimize the output power of the energy storage system and wind turbines,and has better cooperative control performance.关键词
风电机组/储能系统/一次调频/虚拟控制参数/模型预测控制Key words
wind turbine/energy storage/primary frequency regulation/virtual control parameters/model predictive control引用本文复制引用
王育飞,张文韬,杨铭诚,黄敏丽,于艾清,薛花,林顺富..考虑虚拟控制参数调节的风储联合调频优化模型预测控制[J].电力系统保护与控制,2024,52(16):37-48,12.基金项目
This work is supported by the National Natural Science Foundation of China(No.51977127). 国家自然科学基金项目资助(51977127) （No.51977127）
上海市科技创新行动计划项目资助(22010501400) （22010501400）
