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分布式资源参与本地市场出清方法的研究现状与展望

曹芬 周智行 万靖 袁辉红 严泽

广东电力2023,Vol.36Issue(11):41-56,16.
广东电力2023,Vol.36Issue(11):41-56,16.DOI:10.3969/j.issn.1007-290X.2023.11.005

分布式资源参与本地市场出清方法的研究现状与展望

Current Research Status and Outlooks of Clearing Methods for Distributed Energy Resources Participating in Local Markets

曹芬 1周智行 1万靖 2袁辉红 3严泽3

作者信息

  • 1. 国网湖北省电力有限公司,湖北武汉 430077
  • 2. 国网湖北省电力有限公司经济技术研究院,湖北武汉 430077
  • 3. 北京清能互联科技有限公司,北京 100085
  • 折叠

摘要

Abstract

Distributed energy resources(DERs)are characterized by large quantities,small capacities,low voltage levels,different characteristics and scattered distribution,which make them unsuitable for participating in the bulk wholesale market.Participating in the local market is a feasible solution to adapt to the characteristics of DERs.Firstly,based on the definition of local market,this paper discusses the connotation of DERs participating in local market from the aspects of trading products and market players,trading framework,and the significance of participating in the market.Secondly,according to different premise assumptions and from the disciplinary theories applied by different clearing methods,it classifies the clearing methods for DERs participating in the local market into physical model-based methods and data-driven methods.It also comprehensively analyzes and compares the advantages and shortcomings of different clearing methods.Afterwards,based on the mathematical characteristics and scale characteristics of different models,the paper summarizes the solution methods applicable to the centralized optimization problem and the two-layer optimization problem.Finally,it expects the future research direction and sorts out the problems and solution ideas of the current optimization models and solution methods.

关键词

分布式资源/本地市场/优化模型/求解算法

Key words

distributed energy resource/local market/optimization model/solving algorithm

分类

信息技术与安全科学

引用本文复制引用

曹芬,周智行,万靖,袁辉红,严泽..分布式资源参与本地市场出清方法的研究现状与展望[J].广东电力,2023,36(11):41-56,16.

基金项目

国家电网有限公司咨询项目(B11538239222) (B11538239222)

广东电力

OA北大核心CSTPCD

1007-290X

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