含风电虚拟惯性响应的新能源电力系统惯量估计

惯量精确估计是分析系统频率安全稳定的前提，而现有方法未能定量评估虚拟惯量对电网等效惯量的影响。鉴于此，文中提出一种含风电虚拟惯性响应的电力系统惯量估计方法。首先推导了含风电虚拟惯性响应的电力系统等效惯量理论表达式；其次利用同步相量测量单元(phasor measurement unit, PMU)获取发电装置节点处的有功-频率数据，然后将发电装置的有功输出功率作为辨识模型输入、频率扰动作为输出，利用受控自回归(controlled autoregressive, CAR)模型以及含有遗忘因子的递推最小二乘(time-varying forgetting factor recursive least squares, TFF-RLS)算法对不同风电渗透率下的全网等效惯量进行评估；最后通过改进的IEEE-10机39节点系统验证所提方法的可行性与适用性。与传统辨识方法相比，文中所提方法估计的惯量精确性有所提高，适用于新能源电力系统时变惯量估计。

Inertia estimation of new energy power system with virtual inertia response of wind power

Accurate estimation of inertia is the premise for analyzing system frequency security and stability, and existing methods fail to quantitatively evaluate the impact of virtual inertia on grid equivalent inertia. In view of this, a power system inertia estimation method with wind power virtual inertia response is proposed in this paper. In this paper, the theoretical expression of the equivalent inertia of the power system including the virtual inertial response of wind power is deduced; secondly, the active power-frequency data at the node of the power generation device is obtained by using the synchrophasor measurement unit (PMU), and then the active output power of the power generation device is used as the identification The model input and frequency disturbance are used as the output. The controlled autoregressive model (CAR) and the recursive least squares algorithm with forgetting factor (TFF-RLS) are used to evaluate the equivalent inertia of the whole network under different wind power penetration rates; The improved IEEE10-machine 39-node system verifies the feasibility and applicability of the proposed method. Compared with the traditional identification method, the estimated inertia accuracy of the method proposed in this paper is improved, and it is suitable for time-varying inertia estimation of new energy power system.