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考虑频率二次跌落和转速恢复的风电机组柔性频率响应策略OA北大核心CSTPCD

Flexible Frequency Response Strategy for Wind Turbines Considering Secondary Frequency Drop and Rotational Speed Recovery

中文摘要英文摘要

风电机组具备主动频率响应能力成为未来风电并网的前提条件,但频率支撑阶段与转速恢复阶段间控制策略切换不当可能引起系统频率二次跌落.针对这一问题,文中提出一种风电机组柔性频率响应策略.首先,在初始运行点将风电机组非线性模型线性化,分析初始运行点对风电机组出力特性的影响;其次,基于风电机组线性化模型推导包含风电和火电的电力系统频率响应传递函数,分析系统参数对频率响应动态特性的影响;然后,研究频率二次跌落和转速恢复间的矛盾,利用分段函数和Logistic函数构造附加功率参与因子,通过形状系数调节风电机组输出电磁功率;最后,基于MATLAB/Simulink平台进行仿真对比研究.仿真结果表明,所提出的策略在消除频率二次跌落的同时,具有良好的转速恢复过程.

The active frequency response capability of wind turbines has become a prerequisite for the wind power integration in the future,but the improper switching of control strategies between the frequency support stage and the speed recovery stage may cause a secondary frequency drop(SFD).Aiming at this problem,this paper proposes a flexible frequency response strategy for wind turbines.Firstly,the nonlinear model of wind turbines is linearized at the initial operation point,and the impact of the initial operation point on the output characteristics of wind turbines is analyzed.Secondly,based on the linearized model of wind turbines,the frequency response transfer function for the power system composed of wind power and thermal power is derived,and the impact of system parameters on the dynamic characteristics of frequency response is studied.Then,the contradiction between SFD and rotational speed recovery is studied,and a participation factor of auxiliary power is constructed by using piecewise function and Logistic function.The electromagnetic power output of the wind turbine is adjusted through shape coefficients.Finally,the comparative simulation study is conducted on the MATLAB/Simulink platform.Simulation results show that the proposed strategy can eliminate the SFD while guaranteeing a satisfactory rotational speed recovery.

陶玉昆;杨飞飞;和萍;李从善;季玉琦

郑州轻工业大学电气信息工程学院,河南省郑州市 450002

风电机组频率响应频率二次跌落转速恢复

wind turbinefrequency responsesecondary frequency droprotational speed recovery

《电力系统自动化》 2024 (013)

60-68 / 9

河南省科技攻关项目(232102241015);河南省自然科学基金资助项目(232300420420). This work is supported by Scientific and Technological Breakthrough Foundation of Henan Province(No.232102241015)and Henan Provincial Natural Science Foundation of China(No.232300420420).

10.7500/AEPS20230603001

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