电力系统自动化2025，Vol.49Issue(10)：198-207,10.DOI:10.7500/AEPS20240521004
基于系统频率轨迹最优化的风电辅助调频反馈控制策略
Feedback Control Strategy for Wind Power Auxiliary Frequency Regulation Based on System Frequency Trajectory Optimization
摘要
Abstract
In order to improve the frequency security guarantee ability of the power system,wind power needs to actively provide certain frequency support to the system.Therefore,this paper proposes a feedback control strategy for wind power auxiliary frequency regulation based on system frequency trajectory optimization.Firstly,the system frequency response(SFR)model considering shift of the wind turbine working point and dead band of the frequency regulation is established.Secondly,based on the SFR model,the first-order forward Euler difference method is used to construct a differential dispersion based optimal system frequency trajectory optimization model for solving the additional frequency regulation power trajectory.Then,the feedback function curve law of wind power auxiliary frequency regulation and the optimal system frequency trajectory characteristics are analyzed,and the general expression of the feedback control strategy is deduced.Furthermore,considering influence of the dead band in the practical frequency control,a feedback function correction method for the ordinary dead band is proposed,which can be integrated into the framework of feedback control strategy to accurately describe the dynamic characteristics of wind turbine frequency support.Finally,simulation verification is conducted using a four-machine two-area case,and the results show that the proposed strategy and correction method can effectively improve the dynamic characteristics of SFR and enhance the frequency security and stability of the system.关键词
系统频率响应模型/风电机组/频率安全/最优频率轨迹/死区/频率响应特性Key words
system frequency response model/wind turbine/frequency security/optimal frequency trajectory/dead band/frequency response characteristic引用本文复制引用
高映洁,许寅,吴翔宇,常政威..基于系统频率轨迹最优化的风电辅助调频反馈控制策略[J].电力系统自动化,2025,49(10):198-207,10.基金项目
国家电网公司总部科技项目(5108-202218280A-2-270-XG). This work is supported by State Grid Corporation of China(No.5108-202218280A-2-270-XG). （5108-202218280A-2-270-XG）
