Research on the adjustable potential of flexible loads based on storage electric heating

Abstract

In this paper, the flexible load characteristics of regenerative electric heating are studied, and firstly, its load characteristics are modelled through the analysis of its operating characteristics; secondly, the central point clustering algorithm is used to aggregate the electric heating loads, which makes the parameters of each aggregated group approximate; then, the electric heating system is clustered according to the parameters such as the radiation coefficient of the user's residence and the temperature rise coefficient of the regenerative heating system. The mathematical model of the electric heating system was established; through examples, the regulation capacity and regulation response duration of the electric heating system were simulated and analysed. Finally, the proposed load model for the operation of the thermal storage electric heating aggregates is validated, and its control potential is analysed.