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A dynamic on-line parameter identification and full-scale system experimental verification for large synchronous machines

机译:大型同步电机的动态在线参数辨识和全面系统实验验证

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摘要

An on-line parameter identification and full-scale experimental verification for large synchronous machines (<50 MVA) is presented in this paper. A step change of excitation is imposed to a generator when the machine is in normal operation. The transient voltages, currents and the power angle are recorded. Based on the large disturbance equations and using the measured power angle as an observation argument in an identification algorithm, the synchronous machine electrical parameters (x/sub d/, x/sub d/', x/sub d/", T/sub do/', T/sub do/", x/sub q/, x/sub q/", T/sub qo/") and mechanical parameters (H,D) are obtained. In addition, the system parameters (equivalent infinite bus voltage V/sub bus/ and line reactance x/sub e/) are identified as well. The proposed method has been repetitively applied to turbogenerators and hydrogenerators with capacities up to 300 MVA. In particular, a field test has been conducted on a system with a capacity of 15000 MVA. The experimental results from all of the full-scale tests are consistent and the effectiveness of the proposed on-line identification method is verified. The plant experiences indicate that by adopting the identified parameters, the stability margin of the generator can be improved by up to 5%, resulting in 30-50 MVA more power generation.
机译:本文提出了大型同步电机(<50 MVA)的在线参数识别和大规模实验验证。电机正常运行时,发电机的励磁阶跃变化。记录瞬态电压,电流和功率角。基于大扰动方程并在识别算法中将测得的功率角用作观察变量,同步电机电气参数(x / sub d /,x / sub d /',x / sub d /“,T / sub获得d /',T / sub q /”,x / sub q /,x / sub q /”,T / sub qo /”)和机械参数(H,D)。此外,还可以识别系统参数(等效的无限母线电压V / sub bus /和线路电抗x / sub e /)。所提出的方法已经重复地应用于容量高达300 MVA的涡轮发电机和水轮发电机。特别是,已经对容量为15000 MVA的系统进行了现场测试。所有全面测试的实验结果是一致的,并验证了所提出的在线识别方法的有效性。工厂的经验表明,通过采用确定的参数,发电机的稳定裕度可以提高高达5%,从而使发电量增加30-50 MVA。

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