With the development of renewable energy and the advancement of electric heating projects, the stable operation of grid has been affected. In this paper, LA is used as an auxiliary service provider to study the scheduling strategy for multiple time scales in thermal demand response. Then, a case verifies the effectiveness of the strategy. Through intraday or real-time scheduling, the load can be effectively reduced by 16.61% and 15.53%, and 406.5MWh and 405.9MWh of abandoned wind power were consumed respectively. All participants can benefit from both scheduling strategies. However, shortening the scheduling time interval cannot achieve better results in thermal demand response scheduling.
Keywords thermal demand response; load aggregator; multiple time scales