基于高频数据V-I特性的延时反馈负荷在线快速辨识算法

研究了一种基于V-I特性的延时反馈非侵入负荷在线快速辨识算法,该算法根据用电设备负荷容感性不变原理,在相同电压背景下,提取每次暂态发生前电路中的稳态周期电流,利用信号一维加减得到上一次投切的用电设备稳定运行时的周期电流,结合居民用户的用电设备操作习惯对目标函数施加约束,缩小可能进行投切的用电设备的组合范围,优化求解确定用电网络中的负荷状态。此外,引入延时反馈识别投切负荷,避免负荷暂态过程对稳态特征提取的影响。利用公开数据集对该方法的有效性进行验证,通过延迟负荷识别可在短时间内准确高效地判断各用电设备的启停时刻。

Fast Online Identification Algorithm for Delayed Feedback Load Based on V-I Characteristics of High Frequency Data

A fast online identification algorithm for delayed feedback load based on V-I characteristics is studied. According to the principle of constant load capacitance and electricity sensibility of the electrical equipment, the steady periodic current before every transient is extracted with the same voltage. And the periodic current of the last electrical equipment is obtained by the one-dimension addition and subtraction of the signal. Then, combining the operation habits of the residential users to impose constraints on the target function, the combination range of the electrical devices that may be switched can be reduced. Finally, the load status in the power network is determined by optimization. The impact of the load transient process on the steady state feature extraction can be avoided by the delay identification of the switching load. The public datasets are used to verify the effectiveness of this method, and the start/stop time can be judged accurately and efficiently in a short time by load delay identification.