Evaluation and Cluster Control of Electric Heating Flexible Load Adjustable Capacity

As a flexible and adjustable load, when its scale reaches a certain degree, is bound to become a considerable demand response resource in power grid operation. It is of great significance to bring it into power grid dispatching operation through demand response. In this paper, a thermal dynamic model of transient heat balance relation of electric heating is constructed, and an evaluation method of adjustable capacity of household electric heating load based on temperature prediction is proposed to evaluate the adjustable capacity of user electric heating load. A uniform clustering model of electric heating load parameters was established and its potential of regulating electric heating load clusters is analyzed. The results show that when the upper limit of the demand response temperature range is 22°C, the smaller the temperature value of negative regulation is, the larger the heat storage energy of cluster electric heating is, and the more significant the peak clipping effect of demand response is.