湖南电力 ›› 2024, Vol. 44 ›› Issue (6): 24-31.doi: 10.3969/j.issn.1008-0198.2024.06.004

• 特约专栏: 新型电力系统 • 上一篇    下一篇

考虑碳交易机制的微电网鲁棒优化调度

杨玉洁, 张莲, 梁法政, 杨家豪, 李蘅, 肖远强   

  1. 重庆理工大学电气与电子工程学院,重庆 400054
  • 收稿日期:2024-07-16 修回日期:2024-08-16 出版日期:2024-12-25 发布日期:2024-12-25
  • 通信作者: 杨玉洁(2000),女,硕士研究生,主要研究方向为微电网优化调度。
  • 作者简介:张莲(1967),女,教授,研究方向为远程测试与控制技术、信号处理等。梁法政(1998),男,硕士研究生,主要研究方向为电力设备在线监测与故障诊断。杨家豪(1999),男,硕士研究生,主要研究方向为光伏功率预测。李蘅(2001),男,硕士研究生,主要研究方向为光伏功率预测。肖远强(1996),男,硕士研究生,主要研究方向为电机控制。
  • 基金资助:
    重庆市教委科技项目(KJQN202001150)

Robust Optimization Scheduling of Microgrid Con‍sider‍ing Carbon Trading Mechanism

YANG Yujie, ZHANG Lian, LIANG Fazheng, YANG Jiahao, LI Heng, XIAO Yuanqiang   

  1. School of Electrical and Electronic Engineering, Chongqing University of Technology,Chongqing 400054, China
  • Received:2024-07-16 Revised:2024-08-16 Online:2024-12-25 Published:2024-12-25

摘要: “双碳”背景下,微电网作为新能源消纳重点,深受源荷不确定的影响。为解决该问题及减少系统运行时产生的碳排放量,提出一种考虑阶梯式碳交易机制的微电网两阶段鲁棒优化调度方法,提高系统应对新能源出力波动的能力,在减少碳排放量的基础上保证系统运行的经济性。首先构建微电网各微源数学模型及阶梯碳交易机制,建立两阶段鲁棒优化模型。利用KKT条件将子问题化简为混合整数规划问题,利用大M法将非线性约束线性化,利用行列生成算法进行迭代求解。最后通过算例,验证所提优化调度模型的有效性;分析阶梯式碳交易机制对系统经济成本及碳排放量的影响。

关键词: 微电网, 优化调度, 不确定性, 鲁棒优化, 阶梯式碳交易机制, 低碳性

Abstract: Under the dual-carbon background, as the focus of new energy consumption,microgrid is deeply affected by the uncertainty of source load. In order to solve this problem and reduce the carbon emissions generated during system operation,this paper proposes a two-stage robust optimization scheduling method for microgrid consideringthe stepped carbon trading mechanism,which improves the system's ability to cope with the fluctuations of new energy output, and ensures the economic operation of the system based on the reduction of carbon emissions. Firstly, the microgrid micro-source mathematical model and the laddered carbon trading mechanism are constructed,and the two-stage robust optimization model is established. The KKT condition is used to reduce the subproblem to a mixed-integer programming problem,and the nonlinear constraints are linearized by the large M method, and interative solution is performed using coloum-and-constraint generation. Finally,the validity of the proposed optimal scheduling model is verified by the arithmetic example,and the effects of the stepped carbon trading mechanism on the economic cost of the system and the carbon emissions are analyzed.

Key words: microgrid, optimized scheduling, uncertainty, robust optimization, stepped carbon trading mechanism, low carbon

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