Multi-objective Dynamic Cooperative Control Method for Aggregated Electric Heating

In order to realize the goal of "double carbon", the application scale of electric heating is expanding, and the disorderly start and stop of high-power electric heating loads may lead to the imbalance of supply and demand, and even affect the stable operation of the distribution network if it is deeply coupled with other non-adjustable source loads. To this end, this paper proposes an aggregated electric heating multi-objective dynamic cooperative control method, establishes an aggregated electric heating group control model for the regional distribution network, quantitatively maps the impact of the complex coupling relationship between electric heating and the rest of the loads in the regional distribution network on the stability of the regional distribution network to the transformer load rate, and at the same time, combines with the user’s comfort to construct a multiobjective cooperative optimization problem based on the adaptive influence regulation, and then obtains the optimal coupling adjustment strategy. The simulation results demonstrate that the proposed method can effectively suppress the fluctuation of transformer load rate while ensuring the users’ comfort and significantly improve the stability of the regional distribution network of the power system under large-scale electric heating access.