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基于上下游市场联动的燃煤电厂两阶段决策模型

廖志伟 郑广昱 谢汛恺 王博文 张文锦

中国电机工程学报2024,Vol.44Issue(8):3036-3045,中插8,11.
中国电机工程学报2024,Vol.44Issue(8):3036-3045,中插8,11.DOI:10.13334/j.0258-8013.pcsee.222234

基于上下游市场联动的燃煤电厂两阶段决策模型

A Two-stage Decision Model for Coal-fired Power Plants Based on Upstream and Downstream Market Linkages

廖志伟 1郑广昱 1谢汛恺 1王博文 1张文锦1

作者信息

  • 1. 华南理工大学电力学院,广东省 广州市 510640
  • 折叠

摘要

Abstract

With the sharp fluctuations in bulk energy prices and the impact of new energy on the grid,the operation of coal-fired power plants,which are indispensable at this stage,is difficult.While optimizing the management and control of upstream fuel procurement and storage costs,the linkage decision-making for the downstream power market bidding and grid connection can improve the living space of thermal power generation enterprises under the carbon peak and carbon neutrality background to a certain extent.Aiming at the problems of inconsistent decision-making cycles in the linkage between upstream and downstream markets and the fact that the fixed power generation cost quadratic curve cannot reflect the changes in power generation costs,this paper proposes a two-stage optimization decision-making model for coal-fired power plants based on the linkage of upstream and downstream markets.First,the linkage model of upstream and downstream markets of coal-fired power plants is proposed.Then,a two-stage decision-making model of coal purchase and bidding strategy is established,and the influence of conditional value-at-risk on decision-making is discussed.Finally,the coal-fired power plant A is used to analyze an example and verify the validity of the two-stage decision-making model.The calculation example shows that the two-stage decision-making model proposed in this paper can solve the above problems and maximize profits.

关键词

电煤市场/日前电力市场/条件风险价值/滚动优化/两阶段决策

Key words

coal market/day-ahead power market/conditional value-at-risk/rolling optimization/two-stage decision

分类

管理科学

引用本文复制引用

廖志伟,郑广昱,谢汛恺,王博文,张文锦..基于上下游市场联动的燃煤电厂两阶段决策模型[J].中国电机工程学报,2024,44(8):3036-3045,中插8,11.

基金项目

国家自然科学基金项目(51437006). Project Supported by National Natural Science Foundation of China(51437006). (51437006)

中国电机工程学报

OA北大核心CSTPCD

0258-8013

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