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

Frontiers in Energy Research

Energy Research

Ruijin He¹  Shanchao Huang¹  Jiaxing Li¹  Mingbo Liu¹  Ping Dong² 

[1] School of Electric Power Engineering, South China University of Technology, Guangzhou, China;null;

关键词: wind power;    electricity market;    price-based demand response;    incentive-based demand response;    energy storage system;   

DOI  :  10.3389/fenrg.2022.1025152

 received in 2022-08-22, accepted in 2022-09-23,  发布年份 2023

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

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Copyright © 2023 He, Dong, Liu, Huang and Li.