基于AE-MFCM技术的电力用户响应特性分析方法

对电力用户用电特性的正确分析是实现电力系统高效运行和增值服务的关键.本文提出一种基于自动编码器与改进模糊C均值聚类算法结合技术的用户响应特征分析方法.首先,对用电模式进行聚类来确定用户的行为特性,利用自动编码器和改进模糊C均值聚类算法实现特征提取和数据处理.然后,基于用户用电模式的分类结果,利用神经网络等智能算法对每类...

Analysis Method for Power User Response Characteristics Based on AE-MFCM Technology

The correct analysis of power consumption characteristics of power users is the key to realizing the efficient operation of power system and value-added services.In this paper,an analysis method for the power user response char?acteristics is proposed,which is based on the automatic encoder-modified fuzzy C-means(AE-MFCM)clustering algo?rithm.First,the users’power consumption patterns are clustered to determine the corresponding behavior characteris?tics,and AE and the MFCM clustering algorithm are used to realize characteristics extraction and data processing.Sec?ond,based on the classification results of users’power consumption patterns,intelligent algorithms such as neural net?work are used to model the demand response of each type of user and fit the relationship between the excitation signal and user response amount,thus obtaining the response characteristics and response capabilities that accurately reflect the user demand.Finally,the effectiveness of the proposed method is verified by the data of one actual power grid.