主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院

中国管理科学 ›› 2025, Vol. 33 ›› Issue (1): 247-258.doi: 10.16381/j.cnki.issn1003-207x.2024.1678cstr: 32146.14.j.cnki.issn1003-207x.2024.1678

• • 上一篇    下一篇

风光电力消纳机制与方案研究现状及前沿展望

刘风1,2, 马铁驹3()   

  1. 1.中国矿业大学经济管理学院,江苏 徐州 221116
    2.华东理工大学商学院,上海 200237
    3.上海交通大学安泰经济与管理学院,上海 200030
  • 收稿日期:2024-09-20 修回日期:2024-11-13 出版日期:2025-01-25 发布日期:2025-02-14
  • 通讯作者: 马铁驹 E-mail:tjma@sjtu.edu.cn
  • 基金资助:
    国家自然科学基金项目(72140006);中国博士后科学基金面上项目(2022M710049)

Review and Frontier Prospect of the Researches on the Mechanisms and Strategies of Wind and Solar Power Consumption

Feng Liu1,2, Tieju Ma3()   

  1. 1.China University of Mining and Technology,School of Economics and Management Jiangsu 221116,China
    2.East China University of Science and Technology,School of Business,Shanghai 200237,China
    3.Shanghai Jiao Tong University,Antai College of Economics and Management,Shanghai 200030,China
  • Received:2024-09-20 Revised:2024-11-13 Online:2025-01-25 Published:2025-02-14
  • Contact: Tieju Ma E-mail:tjma@sjtu.edu.cn

摘要:

随着风光发电装机容量的快速提升,其消纳问题已成为影响能源结构低碳转型目标实现的关键,同时,学界也围绕消纳机制与消纳方案等议题展开了广泛研究。本研究采取文献计量与主题分析相结合的方法,系统梳理了该领域研究的演化历程与发展趋势。在此基础上,探讨当前存在的不足与未来发展方向。首先,基于关键词突现分析和共现时序分析,识别了不同阶段的研究热点并探究其演变特征。其次,分五个时间切片进行主题建模,明晰关键研究主题的演化路径。最后,对风光电力消纳体系的主要模块进行专题分析,指明当前研究的不足之处与前沿问题,其中基于电-碳-证三市场协同的新环境、基于深度学习等人工智能算法的新方法、基于工业耦合的新模式等有望成为未来风光电力消纳研究的突破点。研究结果为后续研究提供了方向指引,同时也为风光电力消纳问题的疏解提供了经验借鉴与理论支撑。

关键词: 风电, 光伏, 消纳, 储能, 工业耦合

Abstract:

With the rapidly increase in installed capacity of wind and solar power in recent years, the high proportion of wind and solar power consumption is considered as the key to achieving the goal of low-carbon energy transition, and the scholars have conducted extensive researches on the topics of consumption mechanisms and strategies. The method combining the bibliometric analysis and thematic modelling is adopted to analyze the evolution path and developing trend of this field, and then the shortcomings and the frontier direction are discussed. The hotspots in different stages were first identified. Based on the emergence and co-occurrence time series analysis, the dynamic evolution of the research hotspots is explored. Secondly, the thematic modelling is conducted in five time slices, and the main evolutionary paths are then identified and analyzed. Based on the research results, a specialized analysis is conducted on the main modules of the current consumption system. The topics including the new environment based on the coordination of electricity-carbon-green certification market, the new methods based on deep learning and artificial intelligence and the new mode based on the coupling with industrial sectors are expected to become the breakthrough points in future research on wind and solar power consumption. The research results can provide guidance for the subsequent studies, as well as experience reference and theoretical support for the realistic consumption problem.

Key words: wind power, solar power, consumption, energy storage, industry coupling

中图分类号: