Bidding Strategy of Day-ahead Market for Combined Heat and Power Plant Considering Flexibility Improvement

Yan ZHANG; Quan LYU; Na ZHANG; Yang LI; Hui SUN

doi:10.7500/AEPS20200506003

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Bidding Strategy of Day-ahead Market for Combined Heat and Power Plant Considering Flexibility Improvement

Special Topic on Key Technologies for Construction and Operation of Electricity Spot Market | 更新时间：2025-06-16

- Bidding Strategy of Day-ahead Market for Combined Heat and Power Plant Considering Flexibility Improvement
- Automation of Electric Power Systems Vol. 45, Issue 6, Pages: 140-147(2021)
- 作者机构：
  
  1.大连理工大学电气工程学院，辽宁省大连市 116024
  2.国网辽宁省电力有限公司经济技术研究院，辽宁省沈阳市 110015
  3.华能大连电厂，辽宁省大连市 116113
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China;the Fundamental Research Funds for the Central Universities
- DOI：10.7500/AEPS20200506003
  CLC：
- Received：06 May 2020，
  
  Revised：2020-06-28，
  
  Published Online：13 October 2020，
  
  Published：25 March 2021
- 稿件说明：
移动端阅览
章艳,吕泉,张娜等.计及灵活性提升的热电厂日前市场竞价策略[J].电力系统自动化,2021,45(6):140-147.

ZHANG Yan,LYU Quan,ZHANG Na,et al.Bidding Strategy of Day-ahead Market for Combined Heat and Power Plant Considering Flexibility Improvement[J].Automation of Electric Power Systems,2021,45(6):140-147.
章艳,吕泉,张娜等.计及灵活性提升的热电厂日前市场竞价策略[J].电力系统自动化,2021,45(6):140-147. DOI： 10.7500/AEPS20200506003.

ZHANG Yan,LYU Quan,ZHANG Na,et al.Bidding Strategy of Day-ahead Market for Combined Heat and Power Plant Considering Flexibility Improvement[J].Automation of Electric Power Systems,2021,45(6):140-147. DOI： 10.7500/AEPS20200506003.

摘要

针对含多类型燃煤热电机组与多种电热解耦设备的热电厂在电力现货市场中的报价决策问题，提出了基于价格接受者角色的热-电分步决策竞价模型。首先，依据次日预测价格进行热电厂日前最优产量决策，确定厂内电热解耦设备的运行计划。然后，根据机组调节能力，计算热电厂在次日各时段的发电功率范围；进而，构建分段阶梯形报价曲线。最后，以中国北方地区某典型燃煤热电厂为例，基于现货市场试点的3种典型场景出清电价，验证了所提热-电分步竞价决策模型的有效性；同时分析结果表明，日前市场难以为燃煤热电厂灵活性提升改造提供足够的经济激励。

Abstract

To deal with the bidding decision-making issues of combined heat and power (CHP) plants with multiple types of coal-fired CHP units and various heat and power decoupling equipment in day-ahead spot markets

a heat-power step-by-step decision-making bidding model is proposed for a plant acting as a price taker. First

the optimal day-ahead power output of the CHP plants and the operation plan of heat and power decoupling equipment are determined based on the forecasting day-ahead prices. Then

the generation power ranges of CHP plants in each time period of the next day are determined according to the regulation capability of CHP units. A stepwise quotation curve is constructed. Finally

taking a typical CHP plant in northern China as an example

the effectiveness of the heat-power step-by-step bidding model is verified based on the clearing prices of three typical scenarios in a pilot spot market. Meanwhile

simulation results show that the day-ahead spot market cannot provide sufficient economic incentives for the operation flexibility improvement and renovation of CHP plants.

关键词

Keywords

references

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