Aggregate regulation optimization strategy for air-conditioning load participation in peaking auxiliary services

• Published in: 2024 IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Vol. 6; pp. 341 - 345
• Main Author: Zhan, Xuelei
• Format: Conference Proceeding
• Language: English
• Published: IEEE 24.05.2024
• Subjects: Air conditioning; Air conditioning load; Automation; Auxiliary service market; Costs; Energy storage coordination and scheduling; Information management; Optimization; Regulation; Virtual power plant; Virtual power plants
• ISSN: 2693-2776
• DOI: 10.1109/IMCEC59810.2024.10575772

This paper analyzes the bidding strategy and scheduling scheme of air conditioning load aggregation in peak regulation auxiliary service market, and proposes the optimization model of the strategy of economic optimization. In the process of optimization configuration, based on the market rules of the third party participating in the peak regulating auxiliary service, considering the adjustable capacity of air conditioning load and short-term energy storage scheduling, the bidding strategy of energy storage considering the daily load scale change and coordinating the air conditioning load to participate in the auxiliary service market is designed. Taking air conditioning load aggregation participation in peak regulation auxiliary service market as an example, it proves that the strategy proposed in this paper can effectively improve the response ability of air conditioning load participation in auxiliary service market and increase the revenue of air conditioning load aggregation virtual power plant.