电气工程学报 ›› 2023, Vol. 18 ›› Issue (4): 300-309.doi: 10.11985/2023.04.032

• 新能源发电与电能存储 • 上一篇    下一篇

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碳交易机制下光热电站参与的综合能源系统配置与优化运行研究*

曾贤强1,2(), 张奕1(), 王晓兰1,2,3()   

  1. 1.兰州理工大学电气工程与信息工程学院 兰州 730050
    2.兰州理工大学甘肃省工业过程先进控制重点实验室 兰州 730050
    3.兰州理工大学电气与控制工程国家级实验教学示范中心 兰州 730050
  • 收稿日期:2022-10-28 修回日期:2023-05-27 出版日期:2023-12-25 发布日期:2024-01-12
  • 作者简介:曾贤强,男,1978年生,博士,副教授。主要研究方向为综合能源系统、可再生能源发电和微电网控制等。E-mail:zengxqlut@163.com
    张奕,男,1998年生,硕士研究生。主要研究方向为综合能源系统优化。E-mail:1390480991@qq.com
    王晓兰,女,1963年生,硕士,教授。主要研究方向为风力发电及其控制技术、微电网控制等。E-mail:wangzt@lut.cn
  • 基金资助:
    *国家自然科学基金(61963024);甘肃省重点研发(20YF8NA059);甘肃省自然科学基金(21JR7RA211)

Research on Integrated Energy System Configuration and Optimal Operation of Concentrating Solar Power Plant Participation Under Carbon Trading Mechanism

ZENG Xianqiang1,2(), ZHANG Yi1(), WANG Xiaolan1,2,3()   

  1. 1. College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050
    2. Key Laboratory of Advanced Control of Industrial Process of Gansu Province, Lanzhou University of Technology, Lanzhou 730050
    3. National Experimental Teaching Demonstration Center of Electrical and Control Engineering, Lanzhou University of Technology, Lanzhou 730050
  • Received:2022-10-28 Revised:2023-05-27 Online:2023-12-25 Published:2024-01-12

摘要:

对于“双碳”背景下光热电站参与的综合能源系统,建立了碳交易机制下考虑源侧出力和荷侧需求不确定性的多能耦合区域综合能源系统两阶段鲁棒优化配置与优化运行模型。模型中针对不确定性调节参数的设定,使运行方案更具灵活性。然后,基于列与约束生成算法和拉格朗日对偶法,将原问题分解为主问题和子问题迭代求解。最后,通过仿真算例验证了所提方法。结果表明本方法能有效减少不确定性因素导致系统容量配置波动大的问题,并能够降低综合调度成本;同时光热电站的参与运行使得系统能够兼顾低碳性和经济性。

关键词: 区域综合能源系统, 光热电站, 鲁棒优化, 列与约束生成算法, 不确定性

Abstract:

Aiming at the integrated energy system involving concentrating solar power stations under the background of “double carbon”, a two-stage robust optimal allocation and optimal operation model of multi-energy coupled regional integrated energy system considering the uncertainty of source-side output and load-side demand under the carbon trading mechanism is established. The uncertainty adjustment parameters are introduced into the model to make the scheduling scheme more flexible. Then, based on the column and constraint generation algorithm and Lagrange dual method, the original problem is decomposed into the main problem and the sub-problem to solved iteratively. Finally, the proposed method is verified by a simulation example. The results show that the proposed method can effectively reduce the problem of large fluctuation of system capacity allocation caused by uncertainty factors, and reduce the comprehensive scheduling cost. At the same time, the participation of the concentrating solar power stations enable the system to take into account both low-carbon and economical.

Key words: Regional integrated energy system, concentrating solar power stations, robust optimization, column and constraint generation algorithm, uncertainty

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