基于常规扰动数据的电网分区及惯量在线辨识方法

Area Division of Power Grid and Inertia Online Identification Method Based on Routine Disturbance Data

鉴于电力系统转动惯量在大规模新能源接入后可能随运行场景变化而波动的问题,为满足电网安全稳定运行的要求,定期监测电力系统的等效惯量是必要的。因此提出了一套基于电网常规随机扰动数据的区域惯量辨识方法,首先提出采用总体最小二乘-旋转不变技术的信号参数估计算法对电网不同母线频率振荡成分进行提取,并根据提取结果对电网进行分区,以提升区域边界联络线功率波动监测数据的信噪比;然后提出利用子空间辨识算法对区域惯性中心频率与功率不平衡量之间的动态关系进行辨识,进一步计算区域惯量等参数。最后以IEEE 39节点系统为例,验证了所提基于分区结果进行惯量辨识方法的有效性。

Considering that power system inertia may fluctuate with the change of operation scenario due to large-scale access to renewable energy plants,it is necessary to monitor the equivalent power system inertia for the stable operation of the power grid.Therefore,a set of area devision inertia identification method is proposed based on routine disturbance data.Firstly,the algorithm of total least square estimation of signal parameters via rotational invariance techniques is used to extract the oscillation components of different bus frequncy,and the power gird will be divided according to the extracted results.In this way,the signal to noise ratio(SNR) of the monitoring results of the power fluction between different regions is improved.Then,the subspace identification algorithm is used to identify the dynamic relationship between the area center of inertia frequency and unbalanced power.Futher,area division inertia will be calculate based on the above results.Finally,the effectiveness of the proposed inertia identification method based on the area division is verified in the IEEE 39-bus system.