湖南电力 ›› 2025, Vol. 45 ›› Issue (2): 129-136.doi: 10.3969/j.issn.1008-0198.2025.02.018

• 电力人工智能与数字化 • 上一篇    下一篇

适应大峰谷差的虚拟电厂市场化交易机制研究

李继传1, 罗朝春1, 王宇2, 刘翔斌1, 郭伟嘉2, 刘敦楠2   

  1. 1.湖南电力交易中心有限公司,湖南 长沙 410004;
    2.华北电力大学,北京 102206
  • 收稿日期:2024-11-11 修回日期:2024-12-18 发布日期:2025-04-30
  • 通信作者: 郭伟嘉(1999),男,博士研究生,研究方向为电力市场。
  • 作者简介:李继传(1972),男,工程师,研究方向为电力市场。
  • 基金资助:
    湖南电力交易中心有限公司管理咨询项目(SGHNPEC0JYWT2310018)

Study on Market Trading Mechanism of Virtual Power Plant Adapted to Large Peak-Valley Difference

LI Jichuan1, LUO Chaochun1, WANG Yu2, LIU Xiangbin1, GUO Weijia2, LIU Dunnan2   

  1. 1. Hunan Power Exchange Center Co., Ltd., Changsha 410004, China;
    2. North China Electric Power University, Beijing 102206, China
  • Received:2024-11-11 Revised:2024-12-18 Published:2025-04-30

摘要: 随着新能源接入规模不断提升,电力系统供需形势日益严峻,虚拟电厂规模化参与市场的交易机制亟待建立。在此背景下,对国内外虚拟电厂参与市场的情况及关键问题进行充分调研与梳理,提出虚拟电厂参与中长期、现货、辅助服务市场的交易模式。同时,为进一步发挥虚拟电厂的全时间尺度灵活性价值,考虑用户响应的不确定性,构建虚拟电厂参与中长期调峰辅助服务的交易品种及市场模型。仿真分析表明,所提方法能够有效激发虚拟电厂灵活调节潜力,缓解高比例新能源接入下系统峰谷差拉大导致的调峰压力。

关键词: 虚拟电厂, 中长期, 调峰辅助服务, 交易模式, 现货

Abstract: With the increasing scale of new energy access, the supply and demand situation of the power system is becoming more and more severe. The trading mechanism for large-scale participation in the market is urgently needed to be established for virtual power plants(VPPs). Against this background, the situation and key issues of VPPs' participation in the market at home and abroad are fully investigated and sorted out, and a trading pattern for VPPs' participation in the medium-and long-term, spot and auxiliary service markets is proposed. Additionally, in order to further utilize the value of the full time-scale flexibility of VPPs, considering the uncertainty of user response, the trading varieties and market model for VPPs to participate in medium-and long-term peaking auxiliary services are constructed. Simulation results demonstrate that this approach can effectively stimulate the flexible adjustment potential of VPPs while mitigating peak shaving pressure arising from the peak-to-valley difference of the system under the high proportion of new energy access.

Key words: virtual power plants, medium and long term, peaking auxiliary services, trading pattern, spot goods

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