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

作　　者：陈义宣 冯帅帅 李玲芳 游广增 孙鹏 柯德平[2] 赵伟阳 CHEN Yixuan;FENG Shuaishuai;LI Lingfang;YOU Guangzeng;SUN Peng;KE Deping;ZHAOWeiyang(Power Grid Planning and Research Center,Yunnan Power Grid Co.,Ltd.,Kunming 650011,China;School of Electrical and Automation,Wuhan University,Wuhan 430072,China)

机构地区：[1]云南电网责任有限公司电网规划研究中心,昆明650011 [2]武汉大学电气与自动化学院,武汉430072

出　　处：《南方电网技术》2023年第7期83-94,共12页Southern Power System Technology

基　　金：云南电网有限责任公司科技项目(YNKJXM20200165);国家自然科学基金项目(51777143)。

摘　　要：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.

关 键 词：电网分区 惯量辨识 常规扰动数据 信号参数估计 子空间辨识 

分 类 号：TM743[电气工程—电力系统及自动化]