Aiming at the matching characteristics of distribution network and regenerative electric heating load, a matching strategy of regenerative electric heating load and distribution network station area is proposed. According to the temperature set by the users, combined with the regenerative electric heating model, the possible start -stop strategy of the equipment is determined, with the goal of stabilizing the total load curve of distribution network, and the response optimization model is established. Genetic algorithm is used to find the optimal start-stop strategy, so as to realize the matching interaction with the distribution network station area. The results show that the interactive mode between regenerative electric heating and distribution network is improved by direct load control, which is convenient to give full play to the advantages of regenerative technology and popularize the use of regenerative electric heating equipment on a large scale.