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Frequency Dynamics-Constrained Parameter Design for Fast Frequency Controller of Wind Turbine
IEEE Transactions on Sustainable Energy ( IF 8.6 ) Pub Date : 2021-08-05 , DOI: 10.1109/tste.2021.3102611
Junkai Huang , Zhifang Yang , Juan Yu , Linyun Xiong , Yan Xu

During frequency controller design, the system frequency dynamic behavior is normally assessed by a system frequency response (SFR) model, which is a linearized low-order model that can be efficiently handled. Existing SFR models for a system with wind turbines cannot precisely characterize the nonlinear dynamic of fast frequency controllers in these turbines, causing inaccurate evaluation of the system frequency behavior that may lead to undesired design of fast frequency control parameters. To deal with this issue, the linearization error of the SFR model is formally analyzed. A compensation strategy is proposed to guarantee the accuracy of the frequency behavior assessment. Further considering that fast frequency controllers potentially degrade the small-signal rotor angle stability, this paper presents a coordinated parameter optimization model of fast frequency controllers, which guarantees the system frequency behavior while meeting the small-signal rotor angle stability requirement. Case studies validate the effectiveness of the proposed method.

中文翻译:


风电机组快速频率控制器频率动态约束参数设计



在频率控制器设计期间,系统频率动态行为通常通过系统频率响应(SFR)模型来评估,该模型是可以有效处理的线性化低阶模型。用于风力涡轮机系统的现有 SFR 模型无法精确表征这些涡轮机中快速频率控制器的非线性动态,从而导致对系统频率行为的不准确评估,从而可能导致快速频率控制参数的不期望的设计。为了解决这个问题,对 SFR 模型的线性化误差进行了形式化分析。提出了一种补偿策略来保证频率行为评估的准确性。进一步考虑到快速频率控制器可能会降低小信号转子角稳定性,本文提出了快速频率控制器协调参数优化模型,在保证系统频率行为的同时满足小信号转子角稳定性要求。案例研究验证了所提出方法的有效性。
更新日期:2021-08-05
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