Bidding Strategy of Distributed Prosumers in Electricity Reserve Market Based on Information Gap Decision
Conference Publication ResearchOnline@JCUAbstract
Distributed prosumers face market risks such as price fluctuations, load demand changes, and renewable energy generation output uncertainties when participating in electricity energy and ancillary service markets. In this paper, a bid decision model for distributed prosumers in the daily electricity and ancillary market is established using the Information Gap Decision Theory (IGDT). First, the agency architecture for distributed prosumers participating in these markets is analyzed. Next, a multi-type distributed resource regulation model is constructed, forming the basis of a decision model for the participation of distributed prosumers in the joint energy and ancillary market. Then, the various uncertainties faced by prosumers in their decision-making process are quantitively modeled using the information entropy theory, and an IGDT-based robust optimization model for deriving bidding strategies is developed. Finally, the proposed model is validated in the modified IEEE 33-node distribution system, and the bidding strategies generated by the proposed model effectively addresses the multiple uncertainties faced by prosumers, safeguarding their profits.
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Publication Name
EI2 2023: IEEE 7th Conference on Energy Internet and Energy System Integration
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ISBN/ISSN
979-8-3503-4509-4
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Pages Count
7
Location
Hangzhou, China
Publisher
Institute of Electrical and Electronics Engineers
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Publisher Location
Piscataway, NJ, USA
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Date
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EISSN
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DOI
10.1109/EI259745.2023.10513064