Abstract: On the background of “coal-to-electricity”, the disorderly connection of a large number of electric heating equipment can easily cause peak load, voltage fluctuation or even limit violation, which aggravates the quality and safety of power supply. Aiming at this problem, this paper proposes a self-adaptive control method for electric heating equipment based on the shared media contention access mechanism. The key influencing factors of node voltage fluctuations are analyzed by depicting the relationship function between the electric heating power variation and the regional voltage distribution. On this basis, an implementation architecture of self-adaptive control method for the electric heating equipment with the family as the smallest control unit is constructed. In the architecture, the self-organizing map（SOM） neural network is used to obtain the number of recently active electric heating equipment in the family. Then, referring to the channel access and conflict monitoring mechanism on data transfer in the communication network, the electric heating equipment is enabled to carry out autonomous control and conflict avoidance through real-time collections of local environmental and electrical information, realizing the self-adaptive control without communication. Simulation results verify the effectiveness of the proposed control method in reducing the peak load of power consumption, smoothing the load curve and restraining the voltage from exceeding the limit. The superiority of the self-adaptive control in the real-time response is also verified.