随着大规模风电接入电网,由于风剪切和塔影效应引起的风电功率3p频率周期性波动,可能会导致电力系统发生强迫振荡,严重威胁系统的稳定运行。风电接入点的不同,会使系统发生强迫振荡时的频率响应不一样。为分析不同观测节点的频率响应与功率扰动接入位置的关系,建立考虑发电机、原动机及其调速器和负荷特性以及网络结构的含风电电力系统小扰动复频域模型。在此基础上,利用奇异值分解方法求解系统传递函数矩阵的左、右奇异向量,并以此来分析强迫振荡分量在节点间的分布情况和功率扰动接入位置对系统发生强迫振荡时节点稳态频率响应的影响程度。通过与复模态方法的对比,验证了奇异值分解方法的正确性和有效性。最后,将奇异值分解的结果应用于IEEE 10机39节点系统,分析风电3p频率波动对系统频率响应的影响,表明了合理选择风电接入点的重要性。
With the large-scale wind power integrated in power systems, the 3p-frequency periodic fluctuations caused by wind shear and tower shadow effects, may lead to forced oscillations, which seriously threaten the stable operation of the power systems. The frequency response to forced oscillations varies with the access point of wind power. To analyze the relationship between power disturbance access point and the frequency response on different observation nodes, a small signal model in frequency domain considering the dynamic characteristic of generator with governor, load characteristic and network structure was established. Then, the singular vectors of system transfer function matrix solved by singular value decomposition method, were used to analyze the distribution of forced oscillation component in nodes and the influence degree of power disturbance access point on the steady-state frequency response of nodes. Compared with the complex modes method, the correctness and validity of the singular value decomposition method were verified. Finally, on IEEE 39-bus system, the singular value decomposition was applied to analyze the influence of 3p-frequency periodic fluctuations of wind power on system frequency response. The results indicate the importance of a reasonable selection of wind power access point.