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Identifying torsional modal parameters of large turbine generators based on the supplementary-excitation-signal-injection test

机译:基于附加励磁信号注入试验的大型汽轮发电机扭转模态参数识别

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摘要

Torsional parameters, especially modal frequencies and mechanical damping, of large turbine generators play critical roles in evaluating and solving the subsynchronous resonance or oscillation (SSR/SSO) problem. To accurately identify these torsional parameters, this paper proposes a systematic approach based on the supplementary-excitation-signal-injection test. The identification process is fulfilled via three steps, i.e., (ⅰ) accurate detection of modal frequencies by stimulating controllable torsional vibration with the injection of supplementary modal signals into the excitation system; (ⅱ) online identification of total modal damping using modal filtration, improved discrete Fourier transform (DFT) and least-square fitting technique; (ⅲ) separating electrical damping from the identified modal damping to get the pure mechanical modal damping. The proposed approach was verified through digital simulation and then was applied to the torsional-parameter identification of four practical turbine-generators in Shangdu Power Plant. The results demonstrated that, with the proposed approach, the modal frequencies and mechanical damping can be obtained accurately, intactly and without interfering with the normal operation of on-grid generators.
机译:大型涡轮发电机的扭力参数,尤其是模态频率和机械阻尼,在评估和解决次同步谐振或振荡(SSR / SSO)问题中起着至关重要的作用。为了准确识别这些扭转参数,本文提出了一种基于补充激励信号注入测试的系统方法。识别过程通过三个步骤完成,即(ⅰ)通过向激励系统中注入附加模态信号来刺激可控的扭转振动,从而精确检测模态频率; (ⅱ)使用模态滤波,改进的离散傅里叶变换(DFT)和最小二乘拟合技术在线识别总模态阻尼; (ⅲ)将电阻尼与识别出的模态阻尼分开,以获得纯机械模态阻尼。通过数字仿真对提出的方法进行了验证,然后将其应用于上都电厂的四台实用涡轮发电机的扭力参数辨识。结果表明,采用该方法可以准确,完整地获得模态频率和机械阻尼,而不会影响并网发电机的正常运行。

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