Two-stage Clearing Model for Day-ahead Electricity Market Considering Impact of Carbon Emissions Trading Market

Zhilin LU; Mingbo LIU; Nan SHANG; Zheng CHEN; Yan ZHANG; Guori HUANG

doi:10.7500/AEPS20211101003

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Two-stage Clearing Model for Day-ahead Electricity Market Considering Impact of Carbon Emissions Trading Market

Basic Research | 更新时间：2025-06-16

- Two-stage Clearing Model for Day-ahead Electricity Market Considering Impact of Carbon Emissions Trading Market
- Automation of Electric Power Systems Vol. 46, Issue 10, Pages: 159-170(2022)
- 作者机构：
  
  1.南方电网能源发展研究院有限责任公司，广东省广州市 510663
  2.华南理工大学电力学院，广东省广州市 510640
- 作者简介：
- 基金信息：
  
  China Southern Power Grid Company Limited(ZBKJXM20210436)
- DOI：10.7500/AEPS20211101003
  CLC：
- Received：01 November 2021，
  
  Revised：2022-01-24，
  
  Published Online：11 April 2022，
  
  Published：25 May 2022
- 稿件说明：
移动端阅览
卢治霖,刘明波,尚楠等.考虑碳排放权交易市场影响的日前电力市场两阶段出清模型[J].电力系统自动化,2022,46(10):159-170.

LU Zhilin,LIU Mingbo,SHANG Nan,et al.Two-stage Clearing Model for Day-ahead Electricity Market Considering Impact of Carbon Emissions Trading Market[J].Automation of Electric Power Systems,2022,46(10):159-170.
卢治霖,刘明波,尚楠等.考虑碳排放权交易市场影响的日前电力市场两阶段出清模型[J].电力系统自动化,2022,46(10):159-170. DOI： 10.7500/AEPS20211101003.

LU Zhilin,LIU Mingbo,SHANG Nan,et al.Two-stage Clearing Model for Day-ahead Electricity Market Considering Impact of Carbon Emissions Trading Market[J].Automation of Electric Power Systems,2022,46(10):159-170. DOI： 10.7500/AEPS20211101003.

摘要

作为推动中国“碳达峰、碳中和”目标的重要政策性工具，碳排放权交易(CET)市场的运行预计将对电力市场的出清产生深远影响。针对现有出清模型无法平衡不同目标的冲突且控制碳排放效果不明显的缺点，提出了考虑CET市场影响的日前电力市场两阶段出清模型。第1阶段，建立电力系统总运营成本最小和发电企业碳排放成本总和最小的多目标优化模型；第2阶段，建立以最小化电力系统总运营成本为目标的追踪模型，该模型满足第1阶段获得的Pareto最优解形成的约束。传统加权和法难以获得多目标优化问题分布均匀的Pareto前沿，且无法在非凸区域找到Pareto最优解。因此，采用自适应加权和法求解第1阶段多目标优化问题的完整Pareto前沿。最后，对中国某省级2278节点系统进行了算例分析和两阶段出清模型有效性验证。算例结果表明，CET市场运作将抬高日前电力市场出清价格。

Abstract

As an important policy tool to promote the goal of carbon emission peak and carbon neutrality in China

the operation of the carbon emissions trading (CET) market will have a great impact on the electricity market clearing. Aiming at the shortcomings of the existing clearing model which cannot balance the conflicts of different objectives and has no obvious carbon emission control effect

a two-stage clearing model for the day-ahead electricity market considering the impact of the CET market is proposed. At the first stage

a multi-objective optimization model is established to simultaneously minimize the total operation cost of power systems and the total carbon emission cost of generation companies. In the second stage

a tracing model is built to minimize the total operation cost of power systems

which can satisfy the constraints which are generated by the Pareto optimal solution obtained from the first stage. The traditional weighted sum method is difficult to obtain the evenly distributed Pareto front of a multi-objective optimization problem

and cannot find the Pareto optimal solutions in nonconvex regions. Therefore

an adaptive weighted-sum method is used to obtain the complete Pareto front of the multi-objective optimization problem at the first stage. Finally

the case analysis is carried out in a provincial 2278-bus system in China

and the effectiveness of the two-stage clearing model is validated. The case results show that the operation of the CET market will drive up the clearing prices in the day-ahead electricity market.

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references

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