随机数据驱动下的电力系统低频振荡参数识别方法  

Parameter identification of power system low-frequency oscillation based on random data

作　　者：张旺[1] 杨德友[1] 赵寰宇 傅代印 叶宁 

机构地区：[1]东北电力大学,吉林吉林132000 [2]国网吉林省长春市供电公司,长春130000 [3]国网吉林省吉林市供电公司,吉林吉林132000

出　　处：《黑龙江电力》2016年第4期292-295,300,共5页Heilongjiang Electric Power

摘　　要：为利用随机响应数据进行电力系统安全评估和确保电力系统安全稳定运行,提出基于随机响应数据电力系统低频振荡参数识别算法。该方法利用随机子空间辨识(SSI)方法从WAMS的量测数据中提取出系统低频振荡的频率以及阻尼比,同时可以判断出振荡模态。通过对IEEE 4机2区系统进行实例仿真,并将该方法辨识结果与其他方法辨识结果以及系统理论振荡参数进行对比和分析,其结果验证了该方法的可行性以及有效性。In order to use random response data to evaluate power system security and to ensure the safe and stable operation, this paper proposed the parameter identification of power system low - frequency oscillation based on ran- dom response data, a method which adopted stochastic quency oscillation frequency and damping ratio directly subspace identification （SSI） to extract the system low fre- through the measured data of WAMS, as well as the oscilla- tion modes. Taking IEEE four generators two area into simulation and making comparisons between the results and the results of other methods, the paper verified the feasibility and effectiveness of the method.

关 键 词：随机数据 低频振荡 参数辨识 随机子空间 

分 类 号：TM712[电气工程—电力系统及自动化]