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山东大学学报 (工学版) ›› 2025, Vol. 55 ›› Issue (5): 18-29.doi: 10.6040/j.issn.1672-3961.0.2024.163

• 电气工程——智慧能源专题 • 上一篇    下一篇

计及气-热网络动态特性的多能耦合系统鲁棒机组组合模型

张玉敏1,李竞锐1,杨明2,吉兴全1*,孙东磊3,徐波4,吴福成5   

  1. 1.山东科技大学电气与自动化工程学院, 山东 青岛 266590;2.电网智能化调度与控制教育部重点实验室(山东大学), 山东 济南 250061;3.国网山东省电力公司经济技术研究院, 山东 济南 250021;4.电力规划总院有限公司, 北京 100120;5.国网山东省电力公司诸城市供电公司, 山东 诸城 262299
  • 出版日期:2025-10-20 发布日期:2025-10-17
  • 作者简介:张玉敏(1986— ),女,山东德州人,副教授,硕士生导师,博士,主要研究方向为电力系统运行与控制. E-mail: ymzhang2019@sdust.edu.cn. *通信作者简介:吉兴全(1970— ),男,山东潍坊人,教授,博士生导师,博士,主要研究方向为配电网优化. E-mail: xqji@sdust.edu.cn
  • 基金资助:
    国家自然科学基金青年资助项目(52107111);中国博士后面上资助项目(2023M734092);山东省自然科学基金资助项目(ZR2022ME219,ZR2021QE117)

Robust unit commitment model with multi-energy coupled system considering gas-heat network dynamics

ZHANG Yumin1, LI Jingrui1, YANG Ming2, JI Xingquan1*, SUN Donglei3, XU Bo4, WU Fucheng5   

  1. ZHANG Yumin1, LI Jingrui1, YANG Ming2, JI Xingquan1*, SUN Donglei3, XU Bo4, WU Fucheng5(1. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, Shandong, China;
    2. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University), Jinan 250061, Shandong, China;
    3. Economic &
    Technology Research Institute, State Grid Shandong Electric Power Company, Jinan 250021, Shandong, China;
    4. Electric Power Planning and Engineering Institute Co., Ltd., Beijing 100120, China;
    5. State Grid Zhucheng Power Supply Company, Zhucheng 262299, Shandong, China
  • Online:2025-10-20 Published:2025-10-17

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摘要： 针对可再生能源固有的间歇性、不确定性造成系统调度决策困难的问题,提出一种计及气-热网络动态特性的多能耦合系统鲁棒机组组合模型。建立表征气网和热网动态特性的数学表达,将其融入多能耦合系统的鲁棒机组组合优化模型中;从区间、时间、空间3个角度构造多维不确定性集合,实现对风电消纳边界的灵活调整,同时利用光热电站替代部分火电机组的出力,进一步提高可再生能源利用率;通过列与约束生成算法将建立的最小-最大-最小结构的优化模型转换成具有混合整数线性规划形式的主子问题进行优化求解,提高模型求解速度。以电-气-热6-6-8系统和电-气-热118-20-16系统进行测试分析,结果表明气-热网络动态特性可以提升系统运行的经济性和可再生能源的利用率。

关键词: 多能耦合系统, 动态特性, 可再生能源, 机组组合, 列与约束生成算法

Abstract: The inherent intermittency and uncertainty of renewable energy sources had a challenge to operation decisions of the system. To solve this problem, a robust unit commitment model with multi-energy coupled system considering gas-heat network dynamics was proposed. The mathematical expressions that characterize the dynamic characteristics of gas network and thermal network were established, which were incorporated into the robust unit commitment optimization model of multi-energy coupled system. A multi-dimensional uncertainty set from the perspectives of interval, time, and space to achieve flexible adjustment of wind power absorption boundaries was established. At the same time, concentrating solar power was used to replace the output of some thermal power units to further improve the utilization rate of renewable energy. The column-and-constraint generation algorithm was employed to transform the established min-max-min structure optimization model into a mixed-integer linear programming master-subproblem form for optimization, improving the solution speed of the model. The effectiveness of the proposed model and method was verified on 6-6-8 and 118-20-16 electricity-gas-heat systems, with results indicating that the dynamic characteristics of gas and heat networks can improve the economy of system operation and the utilization rate of renewable energy.

Key words: multi-energy coupled system, dynamic characteristics, renewable energy, unit commitment, column-and-constraint generation algorithm

中图分类号: 

  • TM731
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