Secondary frequency modulation control strategy of household air-conditioning Load participating system based on K-Means clustering algorithm

Abstract

Compared with traditional frequency modulation methods, if a reasonable control method can be adopted, load-side frequency modulation has the advantage of low cost. Air conditioning is a typical high-power household temperature-controlled load. The huge number and outstanding energy storage characteristics make it an important part of demand response and power system frequency modulation. This paper proposes a clustering and equivalent replacement method for air-conditioning load based on K-Means clustering algorithm. Based on the classification algorithm of air-conditioning load, a control strategy based on K-Means clustering algorithm for air-conditioning load participation in secondary frequency modulation of the system was proposed. Aiming at the phenomenon of “secondary peak load” in the process of load recovery in traditional control strategies, the time-sharing grouped frequency modulation control strategy is proposed. The simulation proves the effectiveness of this control strategy in eliminating the “secondary peak load” phenomenon.