Optimal decision in spot-deep peak regulation market for thermal power suppliers considering uncertainty

被引：0
|
作者：
Wang P. [1 ]
Wang Y. [1 ]
Lin Z. [2 ]
Ji C. [2 ]
Qi H. [2 ]
Yang L. [1 ]
He C. [2 ]
Lin Z. [2 ]
机构：
[1] College of Electrical Engineering, Zhejiang University, Hangzhou
[2] Anhui Power Exchange Center Co.，Ltd., Hefei
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2024年 / 44卷 / 05期
关键词：
bidding strategy of power suppliers; information gap decision theory; spot-deep peak regulation joint market; Stackelberg game; uncertainty;
D O I：
10.16081/j.epae.202311014
中图分类号：
学科分类号：
摘要：
Aiming at the problems such as the spatial compression of electric energy profit of power suppliers and the urgent need to expand the deep peak regulation function under the background of joint operation of electricity spot market and deep peak regulation market，an optimization strategy of power suppliers in spot-deep peak regulation market considering the uncertainty is proposed. Based on Stackelberg game，a bi-level optimization model of day-ahead bidding strategy for power suppliers is constructed considering the profit and risk of the joint market. In the upper level model，the segmented quotation price of power suppliers is optimized with the maximum profit of power suppliers in the joint market as the object. In the lower level model，a joint clearing model of electricity spot-deep peak regulation market is proposed considering the uncertainty of quotation price scenarios of the competitors. Aiming at the uncertainty of net load，a fluctuation uncertainty parameter is introduced，and the bi-level model is converted into a decision model of power suppliers in spot-deep peak regulation market based on the information gap decision theory. The simulation and verification based on the actual market data of Anhui province is carried out，the day-ahead bidding strategies of power suppliers adapting to different load scenarios in the joint market are obtained，and the results show that the joint optimal decision considering the uncertainty can effectively avoid the risk of profit fluctuation brought by the load uncertainty. © 2024 Electric Power Automation Equipment Press. All rights reserved.
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页码：208 / 216
页数：8
相关论文
共 24 条
  • [1] Benefit evaluation of the deep peak-regulation market in the Northeast China Grid［J］, CSEE Journal of Power and Energy Systems, 5, 4, pp. 533-544, (2019)
  • [2] ZHANG Min, WANG Jianxue, WANG Xiuli, Et al., Bilateral trading mechanism and model of peak regulation auxiliary service market for renewable energy accommodation［J］, Electric Power Automation Equipment, 41, 1, pp. 84-91, (2021)
  • [3] ZOU Peng, DING Qiang, REN Yuan, Et al., Analysis on construction path evolution of electricity spot market integrating load and renewables following ancillary services in Shanxi Province［J］, Power System Technology, 46, 4, pp. 1279-1288, (2022)
  • [4] LI Jialong, CHEN Yuguo, LIU Sijie, Et al., Mechanism design of day-ahead market considering deep peak regulation［J］, Automation of Electric Power Systems, 43, 4, pp. 9-15, (2019)
  • [5] CHEN Qing, WU Mingxing, LIU Yingqi, Et al., Joint operation mechanism of spot electric energy and auxiliary service for wind power market-oriented accommodation［J］, Electric Power Automation Equipment, 41, 3, pp. 179-188, (2021)
  • [6] SHI Puxin, SHI Peiran, WANG Peiwen, Et al., Analysis and operation evaluation of power peak-shaving ancillary service market in North China［J］, Automation of Electric Power Systems, 45, 20, pp. 175-184, (2021)
  • [7] REN Jing, ZHOU Xin, Chen XUE, Et al., Spot market joint clearing mode with both sides of generation and customer participating in peak regulation［J］, Electric Power Engineering Technology, 41, 1, pp. 26-33, (2022)
  • [8] LIAO Jing, LI Wenying, WEN Ming, Et al., Research on auxiliary service strategy for peak shaving of thermal power companies under the background of UHV transmission［J］, Price：Theory & Practice, 10, pp. 143-147, (2021)
  • [9] AI Xin, ZHOU Shupeng, ZHAO Yuequn, Research on optimal operation and bidding strategy of power system with virtual power plants［J］, Proceedings of the CSEE, 36, 23, pp. 6351-6362, (2016)
  • [10] JIANG Xin, Meng LIU, WANG Tianliang, Et al., Bidding strategy for grid-side energy storage power stations to participate in the spot joint market［J］, Power System Technology, 45, 9, pp. 3398-3408, (2021)
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