Research on the Demand Response Model for the Peak-Shaving Auxiliary Service Market Based on Large Users. Issue 1 (1st December 2022)

• Record Type: Journal Article
• Authors: Jiang, Wenqian; Zhang, Fan; Zhang, Kun; Li, Fusheng; Lin, Xiuqing; Lin, Xiaoming
• Is Part Of: Journal of physics. Volume 2399 Issue 1(2022)
• Publication Date: 2022-12-01
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2399/1/012021
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: The current electricity market reform has become a historical trend. Among them, large enterprises and users will face profound changes in the characteristics of the energy market and the industry's operating environment. Through the feasibility analysis of large users' participation in demand response and based on the potential of large users to participate in demand response, this paper establishes a bidding model for large users in the peak shaving market. Finally, in combination with specific parameter settings, a case analysis of large industrial users participating in peak shaving market transactions was carried out to verify the feasibility of the built model. At the same time, the large user quotation strategy for each time under the case was obtained and analyzed.