Non-intrusive Load Decomposition Based Demand Responsiveness Assessment of Regional Residents

Abstract

Demand responsiveness assessment can provide a basis for the development of demand response strategies, which is significant in alleviating power supply deficiencies. In order to solve the problem of difficult demand response capacity assessment, this paper proposes a method of regional residential response capacity assessment based on non-intrusive load decomposition. Firstly, a non-invasive load decomposition model based on XGBoost algorithm is established, and then the interruptible load of users is decomposed by this targeted model. Then, based on the electricity consumption of interruptible load, the response ability of users at each moment is calculated. Finally, the users are aggregated to get the responsiveness of the residents of the area. The results of the validation on the data set show that this method has high accuracy in demand responsiveness assessment.