A Novel Demand Response Potential Assessment Method for Industrial Users

Power companies or load aggregators can reasonably call demand-side resources through accurate user demand response potential assessment, which can improve the effect of demand response implementation and reduce the load peak-to-valley difference of the power system. Therefore, based on Gaussian process regression, this paper proposes a demand response potential evaluation method for industrial users with large power consumption and strong load regularity. A feature extraction model of industrial user interruptible load based on time series decomposition algorithm, a demand response user willingness model and an industrial user demand response potential evaluation model based on Gaussian process regression are established. Finally, the actual demand response data of a local industrial user is compared with the proposed demand response potential evaluation method. The results show that the proposed method can more accurately evaluate the demand response potential of industrial users, and reasonably call the industrial user resources on the demand side for power companies or load aggregators.