储能科学与技术 ›› 2024, Vol. 13 ›› Issue (10): 3720-3729.doi: 10.19799/j.cnki.2095-4239.2024.0340

• 储能技术经济性分析 • 上一篇    下一篇

考虑环境惩罚的综合能源系统多季节优化研究

王君梅1(), 吴晓南2(), 廖柏睿3   

  1. 1.西南石油大学土木工程与测绘学院,四川 成都 610500
    2.西南石油大学工程学院,四川 南充 637000
    3.上海交通大学四川研究院,四川 成都 610200
  • 收稿日期:2024-04-18 修回日期:2024-05-10 出版日期:2024-10-28 发布日期:2024-10-30
  • 通讯作者: 吴晓南 E-mail:15982064014@163.com;1936333037@qq.com
  • 作者简介:王君梅(1996—),女,硕士研究生,研究方向为综合能源系统优化设计研究,E-mail:15982064014@163.com

Multi-season optimization of integrated energy systems considering environmental penalties

Junmei WANG1(), Xiaonan WU2(), Bairui LIAO3   

  1. 1.School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, Sichuan, China
    2.College of engineering, Southwest Petroleum University, Nanchong 637000, Sichuan, China
    3.Sichuan Research Institute, Shanghai Jiao Tong University, Chengdu 610200, Sichuan, China
  • Received:2024-04-18 Revised:2024-05-10 Online:2024-10-28 Published:2024-10-30
  • Contact: Xiaonan WU E-mail:15982064014@163.com;1936333037@qq.com

摘要:

建筑用能是能源行业的用能大户,而综合能源系统能整合各类能量,为了实现楼宇型综合能源系统的低碳、经济运行,本工作开展了综合能源系统相关优化研究。以两种不同类型建筑作为研究对象,系统包含太阳能、地热能等清洁能源,提出了以矩阵形式建模的能量枢纽模型;以建筑夏、冬两季典型日为数据基础,以典型日综合运行费用最低为目标建立优化调度模型,采用CPLEX软件结合改进NSGA-II算法求解模型;通过算例结果表明,整体上冬季优化效果高出夏季优化效果10%左右;数据显示优化后的建筑综合运行费用节省率在15%~35%且能限制污染物排放量,具有良好的经济效益和环境效益。

关键词: 综合能源, 能源耦合, 储能, 混合整数线性模型, 优化调度

Abstract:

Building energy consumption represents a significant portion of the energy sector, and integrated energy systems offer a way to optimize various energy sources. In order to realize the low-carbon and economic operation in building integrated energy systems, this study explores optimization strategies. Two different types of buildings are examined, incorporating clean energy sources such as solar and geothermal energy. A matrix-based energy hub model is proposed to guide the research. Based on the data from typical summer and winter days, an optimal scheduling model was established with the goal of minimizing comprehensive operational costs for these typical days. The model is solved using CPLEX software combined with an improved NSGA-II algorithm. The results show that the optimization effect in winter is about 10% higher than that in summer. The optimized building demonstrates a comprehensive operation cost reduction ranging from 15% to 35%, while also limiting pollutant emissions, thereby providing significant economic and environmental benefits.

Key words: integrated energy energy, energy coupling, energy storage, mixed integer linear model, optimal scheduling

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