湖南电力 ›› 2026, Vol. 46 ›› Issue (4): 47-56.doi: 10.3969/j.issn.1008-0198.2026.04.008

• 电网运行与控制 • 上一篇    下一篇

基于成本映射的微电网能量-备用联合市场投标策略

朱军飞1, 吴晋波2, 徐民1, 李龙1, 龚禹生2, 刘若琦2   

  1. 1.国网湖南省电力有限公司,湖南 长沙 410004;
    2.国网湖南省电力有限公司电力科学研究院,湖南 长沙 410208
  • 收稿日期:2026-03-13 修回日期:2026-04-03 出版日期:2026-08-25 发布日期:2026-09-11
  • 通信作者: 吴晋波(1981),男,博士,正高级工程师,主要研究方向为电网运行与控制、保护与自动化、新能源与储能应用。
  • 作者简介:朱军飞(1971),男,本科,教授级高级工程师,主要研究方向为电网运行与控制。徐民(1982),男,硕士,教授级高级工程师,主要研究方向为新能源与储能应用。李龙(1983),男,硕士,教授级高级工程师,主要研究方向为保护与自动化。龚禹生(1996),男,硕士,工程师,主要研究方向为电网运行与控制、保护与自动化。刘若琦(1988),女,工程师,博士,主要研究方向为电网运行与控制。
  • 基金资助:
    湖南省十大技术攻关项目(2025QK1004); 国网湖南省电网有限公司科技项目(5216A525000B)

Microgrid Energy-Reserve Joint Market Bidding Strategy Based on Cost Mapping

ZHU Junfei1, WU Jinbo2, XU Min1, LI Long1, GONG Yusheng2, LIU Ruoqi2   

  1. 1. State Grid Hunan Electric Power Company Limited, Changsha 410004, China;
    2. State Grid Hunan Electric Power Company Limited Power Research Institute, Changsha 410208, China
  • Received:2026-03-13 Revised:2026-04-03 Online:2026-08-25 Published:2026-09-11

摘要: 为应对微电网参与能量-备用联合市场时面临的高维耦合投标决策难题与内部隐私泄露风险,提出一种基于成本映射的微电网日前市场投标策略。首先,将微电网内部精细化运行模型重构为以市场投标量为参数的多参数规划问题,生成投标量与运行成本之间的显式分段线性映射关系。随后,构建以该成本域为基础的Stackelberg博弈投标出清双层模型,并利用下层出清模型的KKT条件与强对偶原理,将原问题高效转化为可求解的单层混合整数线性规划模型。算例分析表明,所提方法能在零偏差下精确表征微电网真实运行成本,同时有效保护内部设备参数与运行状态等敏感信息,并具备良好的计算效率。

关键词: 微电网, 能量-备用联合市场, 多参数规划, 成本映射

Abstract: To address the high-dimensional coupled bidding decision-making challenges and internal privacy leakage risks faced by microgrids when participating in the energy-reserve joint market, a day-ahead market bidding strategy is proposed for microgrid based on cost mapping. Firstly, the internal refined operation model of the microgrid is reconstructed as a multi-parameter programming problem with the market bidding volume as the parameter. Through analytical solution, an explicit piecewise linear mapping relationship between the bidding volume and the operation cost is generated. Secondly, a Stackelberg game bidding-clearing two-layer model based on this internal cost domain is constructed. By using the KKT conditions and strong duality principle of the lower-level clearing model, the original problem is efficiently transformed into a solvable single-layer mixed-integer linear programming model. The case study shows that the proposed method can accurately represent the real operation cost of the microgrid with zero deviation, effectively protect sensitive information such as internal equipment parameters and operation status, and has good computational efficiency.

Key words: microgrid, energy-reserve joint market, multi-parameter planning, cost mapping

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