上海交通大学学报

上海交通大学学报 >

2025 , Vol. 59 >Issue 9: 1348 - 1358

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2023.461

新型电力系统与综合能源

基于统计聚类的综合能源系统基础单元模型

  • 沈赋 ,
  • 杨志文 ,
  • 徐潇源 ,
  • 张微 ,
  • 王哲 ,
  • 曹旸
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  • 1 昆明理工大学 电力工程学院, 昆明 650500
    2 上海交通大学 电子信息与电气工程学院, 上海 200240
    3 国网山东省电力公司 济宁供电公司, 山东 济宁 272113
沈 赋(1988—),副教授,从事以新能源为主体的新型电力系统建模;E-mail:shenfu@kust.edu.cn.

收稿日期: 2023-09-12

  修回日期: 2024-01-15

  录用日期: 2024-02-29

  网络出版日期: 2024-03-21

基金资助

国家自然科学基金(52107097);云南省兴滇英才支持计划项目(KKRD202204021);云南省应用基础研究计划(202101BE070001-061)

收起

Unit Model of Integrated Energy System Based on Statistical Clustering

  • SHEN Fu ,
  • YANG Zhiwen ,
  • XU Xiaoyuan ,
  • ZHANG Wei ,
  • WANG Zhe ,
  • CAO Yang
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  • 1 Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
    2 School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
    3 Jining Power Supply Company, State Grid Shandong Electric Power Company, Jining 272113, Shandong, China

Received date: 2023-09-12

  Revised date: 2024-01-15

  Accepted date: 2024-02-29

  Online published: 2024-03-21

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摘要

综合能源系统中的设备元件构成复杂,涉及电、气、热、冷多种能源形式的设备元件在互联和传送过程中产生海量的异构数据,无法较好地反映综合能源系统特性.鉴于此,以综合能源系统基础单元为研究基础,首先,基于统计聚类法分析精选出综合能源系统典型基础单元设备,提取综合能源系统典型基础单元设备特征数据表征基础单元特性;然后,根据综合能源系统基础单元的能质属性,建立综合能源系统各类基础单元模型,更全面地表征综合能源系统特性.最后,通过算例分析验证了所提各类综合能源系统基础单元模型的合理性和适用性.

关键词： 综合能源系统; 基础单元; 统计综合法; 模糊聚类; 负荷建模

本文引用格式

沈赋 , 杨志文 , 徐潇源 , 张微 , 王哲 , 曹旸 . 基于统计聚类的综合能源系统基础单元模型[J]. 上海交通大学学报, 2025 , 59(9) : 1348 -1358 . DOI: 10.16183/j.cnki.jsjtu.2023.461

Abstract

Due to the complexity of equipment components in integrated energy systems, which involve multiple forms of energy such as electricity, gas, heat, and cooling, a massive amount of heterogeneous data is generated during interconnection and transmission processes, making it difficult to effectively reflect the characteristics of integrated energy systems. In light of this, basic units of integrated energy system are adopted as the research foundation in this paper. First, typical basic unit devices of integrated energy systems are carefully selected based on statistical clustering analysis, whose characteristic data are extracted to represent the basic unit features. Then, models of basic unit in integrated energy systems are established based on their energy and quality attributes. Finally, the rationality and applicability of the proposed models for various types of basic units in integrated energy systems are validated by case studies.

Key words： integrated energy system (IES); basic units; statistical synthesis method; fuzzy clustering; load modeling

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