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促进新能源消纳的电-碳市场耦合激励型出清机制

吴琪 赵宣茗 张佳诚 裘智峰

电力建设2023,Vol.44Issue(12):14-27,14.
电力建设2023,Vol.44Issue(12):14-27,14.DOI:10.12204/j.issn.1000-7229.2023.12.002

促进新能源消纳的电-碳市场耦合激励型出清机制

Electricity-Carbon Market Coupling Incentive Clearing Mechanism to Promote Consumption of New Energy

吴琪 1赵宣茗 1张佳诚 1裘智峰1

作者信息

  • 1. 中南大学自动化学院,长沙市 410083
  • 折叠

摘要

Abstract

Promoting the carbon market will help achieve carbon peaking and carbon neutrality goals.The power industry will face a multi-entity and multi-market coordinated trading pattern of electricity-carbon market coupling,in which environmental costs are transmitted into the electricity market through the carbon market.However,in the current market-clearing mechanism,the environmental benefiits of power generators have not been effectively included,resulting in unsatisfactory results for low-emission units,mainly based on new energy sources,which affects the realization of goals.Therefore,by introducing incentive factors to adjust the bidding strategy of unit power generation,an incentive-clearing mechanism to promote the absorption of new energy was designed under the background of electricity-carbon market coupling.Thus,a two-layer model is established:the upper layer models the bidding strategy of heterogeneous power generators,and the lower layer models the incentive market-clearing mechanism.The model is solved with a deep reinforcement learning algorithm.The analysis indicates that the design model can correctly describe the interaction between the coupling markets and that the designed clearing mechanism increases the proportion of power generation in new energy units,promotes the absorption of new energy,and improves the social and emission reduction benefits of the power industry.

关键词

电-碳市场耦合/激励型出清机制/深度强化学习/异质发电商/新能源消纳

Key words

electricity-carbon market coupling/incentive-clearing mechanism/deep reinforcement learning/heterogeneous power generators/new energy consumption

分类

动力与电气工程

引用本文复制引用

吴琪,赵宣茗,张佳诚,裘智峰..促进新能源消纳的电-碳市场耦合激励型出清机制[J].电力建设,2023,44(12):14-27,14.

基金项目

This work is supported by National Natural Science Foundation of China(No.62073345).国家自然科学基金项目(62073345) (No.62073345)

电力建设

OACSCDCSTPCD

1000-7229

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