Bidding Strategy of Distributed Prosumers in Electricity Reserve Market Based on Information Gap Decision
Liu, Yongqing, Zeng, Zhenkun, Wan, Lei, Zhan, Bochun, Huang, Qibin, Wang, Zhen, Yang, Jiajia, and Wen, Fushaun (2023) Bidding Strategy of Distributed Prosumers in Electricity Reserve Market Based on Information Gap Decision. In: Proceedings of the IEEE 7th Conference on Energy Internet and Energy System Integration. pp. 4299-4305. From: EI2 2023: IEEE 7th Conference on Energy Internet and Energy System Integration, 15-18 December 2023, Hangzhou, China.
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Abstract
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.
| Item ID: | 82471 |
|---|---|
| Item Type: | Conference Item (Research - E1) |
| ISBN: | 979-8-3503-4509-4 |
| Copyright Information: | © 2023 IEEE |
| Date Deposited: | 14 May 2024 03:15 |
| FoR Codes: | 40 ENGINEERING > 4008 Electrical engineering > 400805 Electrical energy transmission, networks and systems @ 100% |
| SEO Codes: | 17 ENERGY > 1703 Energy storage, distribution and supply > 170309 Smart grids @ 100% |
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