Marginal Cost Comparison Bidding Mode with Deep Fusion of Marginal Pricing and Economic Dispatching

被引：0
|
作者：
Shang J. [1 ]
Jiang X. [1 ]
Xiao D. [2 ]
Li Z. [3 ]
Yin S. [4 ]
Gao J. [1 ]
机构：
[1] School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou
[2] School of Electric Power, South China University of Technology, Guangzhou
[3] Henan Power Exchange Center, Zhengzhou
[4] Economic and Technological Research Institute of State Grid Henan Electric Power Company, Zhengzhou
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2024年 / 48卷 / 06期
基金：
中国博士后科学基金;
关键词：
bidding mode; economic dispatching; electricity market; marginal pricing;
D O I：
10.7500/AEPS20230306004
中图分类号：
学科分类号：
摘要：
With the rapid development of renewable energy and the emergence of new market players, the economic dispatching mechanism aiming at minimizing cost and the strategic bidding mode based on marginal pricing are difficult to balance fairness and efficiency when the electricity supply is insufficient. Therefore, based on the basic national conditions of China’s power industry, a marginal cost comparison bidding mode with deep fusion marginal pricing and economic dispatching is proposed. From the four aspects of ensuring power supply, improving market economic efficiency, reducing market risks, and promoting market fairness, the potential application value of the bidding mode in the construction of China’s electricity market is discussed. Finally, based on the simulation platform of the electricity market, the effectiveness of the marginal cost comparison bidding mode is verified. © 2024 Automation of Electric Power Systems Press. All rights reserved.
引用
收藏
页码：185 / 193
页数：8
相关论文
共 18 条
  • [1] Zhu LI, PANG Bo, LI Guodong, Et al., Development of unified European electricity market and its implications for China［J］, Automation of Electric Power Systems, 41, 24, pp. 2-9, (2017)
  • [2] DENG Shengsheng, CHEN Haoyong, XIAO Dongliang, Et al., A joint decision making model for power generators to participate in the carbon market and the medium-and long-term power markets［J］, Power System Protection and Control, 50, 22, pp. 1-10, (2022)
  • [3] GAO Zhiyuan, FENG Shuhai, XUE Bike, Et al., Business framework design of provincial dispatching center in centralized electricity spot market ［J］, Automation of Electric Power Systems, 43, 18, pp. 185-191, (2019)
  • [4] YAN Maosong, Modern electricity market and its equivalent price ［M］, (2008)
  • [5] WANG Jianxiao, ZHONG Haiwang, XIA Qing, Et al., Competitive mechanism design in electricity market based on fair benefit allocation［J］, Automation of Electric Power Systems, 43, 2, pp. 7-17, (2019)
  • [6] AN Qi, WANG Jianxiao, WU Zhaoyuan, Et al., Benefit allocation mechanism design of electricity markets with penetration of high proportion of renewable energy ［J］, Automation of Electric Power Systems, 46, 7, pp. 13-22, (2022)
  • [7] Ex-post max-min fairness of generalized AGV mechanisms［J］, IEEE Transactions on Automatic Control, 62, 10, pp. 5275-5281, (2017)
  • [8] CHENG T, LIU Y C，, Et al., Extensions of the locational marginal price theory in evolving power systems：a review［J］, IET Generation， Transmission & Distribution, 16, 7, pp. 1277-1291, (2022)
  • [9] YANG Ruilong, Constructing the micro foundation for the coordinated development of state-owned economy and private economy［J］, Economic Theory and Business Management, 43, 6, pp. 4-12, (2023)
  • [10] BAI Mei, Achievements of electricity sector in China：from 1978 to 2018［J］, Energy of China, 40, 10, pp. 5-11, (2018)
12