基于多频段自适应阻抗重塑的双馈风力发电机并网振荡抑制方法OA
Grid-connected Oscillation Suppression Method for Doubly-fed Induction Generators Based on Multi-band Adaptive Impedance Reshaping
双馈风力发电机并网运行易引发宽频振荡.为适应复杂电网运行工况与双馈风力发电机参数偏移场景,提出了一种机网侧协同、分频段调控的自适应阻抗重塑方法.首先,构建双馈风力发电机的频率耦合序阻抗解析模型,分析宽频域范围内阻抗特性的主要影响因素;其次,在机侧设计增益随频率动态调节的虚拟阻抗控制器,在网侧采用可适应参数波动的有源阻尼控制,分别对次/超同步频段与中频段的阻抗特性进行重塑.在此基础上,对阻抗模型进行了修正,并对控制算法进行了离散化设计以及工程应用可行性验证.最后,通过仿真算例,验证了所提控制方法在串联补偿、并联补偿等多种运行场景下的适用性.
Grid-connected operation of doubly-fed induction generators(DFIGs)easily triggers wide-band oscillations.In order to adapt to complex grid operating conditions and scenarios involving DFIG parameter deviations,this paper proposes an adaptive impedance reshaping method that combines coordinated rotor-side and grid-side regulation with segmented frequency control.First,an analytical model of the frequency coupling sequence impedanc for DFIGs is built to clarify the dominant factors affecting impedance characteristics over a broad-band frequency range.Second,a virtual impedance controller is designed for the rotor side with gains dynamically adjusted to the frequency,while employing active damping control at the grid side to adapt to parameter variations,which reshapes the impedance characteristics within sub-synchronous and super-synchronous and intermediate frequency bands,respectively.On this basis,the established impedance model is revised,and the discretization design of the control algorithm is carried out.The feasibility of its engineering application is verified.Finally,Simulation case studies validate the practicability of the proposed control method in various operating scenarios,including series compensation and shunt compensation scenarios.
刘凯;于建平;李玉敦;樊陈;鲜怡馨;余一平
河海大学电气与动力工程学院,江苏省南京市 211100河海大学电气与动力工程学院,江苏省南京市 211100国网山东省电力公司电力科学研究院,山东省济南市 250003中国电力科学研究院有限公司(南京),江苏省南京市 210003河海大学电气与动力工程学院,江苏省南京市 211100河海大学电气与动力工程学院,江苏省南京市 211100
双馈风力发电机宽频振荡频率耦合阻抗重塑
doubly-fed induction generator(DFIG)broad-band oscillationfrequency couplingimpedance reshaping
《电力系统自动化》 2026 (16)
112-124,13
国家电网公司总部科技项目(5108-202416047A-1-1-ZN). This work is supported by State Grid Corporation of China(No.5108-202416047A-1-1-ZN).
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