Research on large-scale wind power consumption in the electricity market considering demand response and energy storage systems

• Published in: Frontiers in energy research 2023-01, Vol.10
• Main Authors: He, Ruijin, Dong, Ping, Liu, Mingbo, Huang, Shanchao, Li, Jiaxing
• Format: Article
• Language: English
• Subjects: electricity market; energy storage system; incentive-based demand response; price-based demand response; wind power
• ISSN: 2296-598X; 2296-598X
• DOI: 10.3389/fenrg.2022.1025152

Large-scale wind power integration brings great challenges to power system operation. The use of large-scale wind power in the electricity market has become a concern for many researchers. Demand response (DR) and energy storage systems (ESSs) play crucial roles in the consumption of large-scale wind power. In this paper, a detailed DR model is established, including price-based demand response (PBDR) and incentive-based demand response (IBDR). IBDR contains load shifting (LS) and load curtailment (LC). The IBDR model in this study not only includes its bidding and market clearing but also contains relevant constraints: maximum/minimum duration time, shifting/curtailment gap time, and shifting/curtailment frequency. A two-stage trading method, including a day-ahead (DA) market and a real-time (RT) market, is proposed. The method contains various market participants: conventional units (CUs), rapid adjustment units (RAUs), wind power, ESS, and multiple types of DR. The roles and economic benefits of various market participants in the consumption of large-scale wind power are analyzed in an IEEE 30 bus system, verifying the accuracy and validity of the model. The best DR scale and the suggestions of ESS are given. The results show that the proposed method can effectively utilize wind power and decrease system costs.