电力系统惯量评估有助于发现系统惯量薄弱地区，对于提升扰动后系统频率支撑能力具有重要指导作用，因此，提出了一种基于测量数据的电力系统实用化惯量评估方法。首先基于转子运动方程简要分析了电力系统惯量响应过程，并根据惯量响应传递函数分析了现有广域监测体系在不同工况下的适用性。其次，提出了基于最小二乘法的系统惯量和阻尼系数计算方法及惯量响应稳定性判定原则，解决了传统方法模型参数辨识复杂且稳定性未知的问题，进一步提出了基于皮尔逊相关系数的频率偏差预测值和实测值最大相似度计算方法，实现了惯量评估最优时间窗的选取。最后，仿真测试与现场数据测试验证了所提方法的有效性和可靠性，相较于已有方法，所提方法在现有测量体系下惯量辨识精度更高，可用于实际系统中进行惯量评估。
The inertia evaluation of power systems can help identify weak areas of inertia and provide important guidance for improving the frequency support capability of power systems after disturbances. Therefore, a practical inertia evaluation method for power systems based on measurement data is proposed. Firstly, the inertia response process of power systems based on the rotor motion equation is briefly analyzed, and then the applicability of existing wide area monitoring systems under different operation conditions based on the inertia response transfer function is presented. Secondly, a method for calculating system inertia and damping coefficients based on the least squares method and a principle for determining the stability of inertia response are proposed, which solved the problem of complex parameter identification and unknown stability in traditional methods. Furthermore, a method for calculating the maximum similarity between predicted and measured frequency deviation values based on Pearson correlation coefficient is put forward, achieving the selection of the optimal data window for inertia evaluation. Finally, simulation testing and field data testing verifies the effectiveness and reliability of the proposed method. Compared with existing methods, the inertia identification accuracy of the proposed method is higher, and it can be used for inertia evaluation in practical power systems.
