储能科学与技术 ›› 2025, Vol. 14 ›› Issue (5): 1969-1981.doi: 10.19799/j.cnki.2095-4239.2024.1091

• 储能系统与工程 • 上一篇    下一篇

多源耦合不确定性下含电氢储能的微电网低碳容量优化配置研究

李明(), 尹文良(), 李勇康, 孙晨业, 陈佳佳   

  1. 山东理工大学电气与电子工程学院,山东 淄博  255000
  • 收稿日期:2024-11-25 修回日期:2024-12-21 出版日期:2025-05-28 发布日期:2025-05-21
  • 通讯作者: 尹文良 E-mail:22504040045@stumail.sdut.edu.cn;yinwenliang@sdut.edu.cn
  • 作者简介:李明(1998—),男,硕士研究生,主要从事分布式电源并网技术及应用研究,E-mail:22504040045@stumail.sdut.edu.cn
  • 基金资助:
    国家自然科学基金项目(52377110)

Low-carbon capacity optimal configuration of microgrid with hydrogen energy storage under multi-source coupling uncertainties

Ming LI(), Wenliang YIN(), Yongkang LI, Chenye SUN, Jiajia CHEN   

  1. School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, Shandong, China
  • Received:2024-11-25 Revised:2024-12-21 Online:2025-05-28 Published:2025-05-21
  • Contact: Wenliang YIN E-mail:22504040045@stumail.sdut.edu.cn;yinwenliang@sdut.edu.cn

摘要:

在全球能源转型的背景下,微电网作为一种灵活的分布式资源有效集成方案,对于能源系统的可持续发展显得至关重要。微电网不仅能够提升电力系统的灵活性和可靠性,还为实现低碳经济目标提供切实可行的途径。本文以提高微电网的运行经济性、稳定性和低碳性为目标,旨在考虑多源耦合的不确定性环境下,探索含电氢储能的微电网低碳经济优化配置方案。具体而言,首先在分析微电网中各单元运行特性的基础上,应用场景生成和基于改进的K-means聚类算法,构建风电、光伏发电及电力负荷的典型场景集来处理不确定性问题。然后,以综合成本最小化为微电网上层容量优化的目标,以系统总运行成本的最小化为下层运行优化的目标。同时引入阶梯碳交易机制,建立微电网双层优化配置的模型。最终,结合改进的乌燕鸥算法和混合整数线性规划方法求解所建立的双层优化模型,进而确定微电网的最优容量配置。通过基于华中地区某地年气象和负荷数据的算例分析,验证了所提方法的有效性与优越性。

关键词: 微电网, 氢储能, 配置优化, 双层优化, 不确定性建模

Abstract:

Against the backdrop of global energy transition, the microgrid, as a flexible and effective integration solution for distributed renewable energy, is crucial for the sustainable development of energy systems. The microgrid can not only improve the flexibility and reliability of the power system, but also provide a practical way to achieve the goal of low-carbon economy. This paper aims to improve the economic efficiency, stability, and low-carbon characteristics of microgrid operation, focusing on the optimal double-layer configuration of a microgrid with electricity-hydrogen energy storage under multi-source coupling uncertainties. Specifically, based on analyzing the operation characteristics of various units in the microgrid, the study utilizes scenario generation and the improved K-means clustering algorithm to construct typical scenario sets for wind power, photovoltaic output, and power load to address uncertainty issues. Furthermore, considering the carbon trading mechanism, a double-layer optimization configuration model is proposed for the microgrid, with the objective of minimizing overall costs in the upper layer and minimizing total operation costs of the system in the lower layer. Finally, the double-layer optimization model is solved by combining an improved shearwater algorithm and mixed-integer linear programming method, and then the optimal capacity configuration of the microgrid is determined. The effectiveness and superiority of the proposed method are verified by an example analysis based on annual meteorological and load data in a certain area of central China.

Key words: microgrid, hydrogen energy storage, configuration optimization, two-layer optimization, uncertainty modeling

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