Demand response model for characteristics analysis of electricity consumers

Abstract

An exact grasp of the electricity consumers' demand response characteristics (DRCs) plays an important role in designing and achieving the potential benefit of demand response (DR) programs. In order to analyze the DRCs of industrial electricity consumers in the time of use (TOU) pricing program, a DR model based on the Support Vector Machine (SVM) regression algorism is proposed in the paper. With the model, electricity consumers' daily load arrangement under different price rate (PR) of TOU pricing program could be simulated. Using the simulating data, the electricity consumers' DRCs could be calculated to make further analysis. The work provides reasonably theoretical reference for designing, evaluating and amending current TOU pricing programs and gives an access to quantitively evaluate electricity consumers' DR potential. Besides, the model can also be adapted to study other areas of DR.