基于WRLS-ARMAX系统辨识的新能源电力系统惯量评估OACSTPCD
Inertia Estimation of New Energy Power System Based on WRLS-ARMAX System Identification
随着高比例新能源机组并入电网,电力系统低惯量特性愈加显著,严重影响了系统运行稳定性.为了准确估计新能源电网实际运行状态下的惯量大小,提出了一种基于加权递推最小二乘(WRLS)-受控自回归滑动平均(ARMAX)系统辨识的新能源电力系统等效惯量评估方法.首先,以发电机为对象,建立不同扰动情况下发电机功频响应特性的通用惯量解析模型;其次,以发电机并网母线有功功率和频率扰动作为输入和输出,建立ARMAX模型,考虑到实际电网运行过程中受大、小扰动共同影响,…查看全部>>
With the high proportion of new energy units integrated into the power grid,the low inertia characteristic of the power system become more and more significant,which seriously affects the stability of the system operation.In order to accurately estimate the inertia of new energy power grid in actual operation state,a new energy power system equivalent inertia estimation method based on weighted recursive least squares(WRLS)-auto-regressive moving average exo…查看全部>>
刘志坚;洪朝飞;郭成;张馨媛
昆明理工大学电力工程学院,云南昆明 650500昆明理工大学电力工程学院,云南昆明 650500昆明理工大学电力工程学院,云南昆明 650500昆明理工大学电力工程学院,云南昆明 650500
动力与电气工程
加权递推最小二乘系统辨识新能源电力系统惯量评估功频响应
weighted recursive least squaressystem identificationnew energy power systeminertia estimationpower-frequency response
《电机与控制应用》 2024 (7)
84-93,10
国家自然科学基金(52367002)云南省联合基金重点项目(202201BE070001-15)National Natural Science Foundation of China(52367002)Key Project of Yunnan Provincial Joint Foundation(202201BE070001-15)
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