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考虑绝热性能差异的建筑群与社区综合能源系统协同优化

贾宏杰 雷雨 靳小龙 穆云飞 魏炜 宫建锋

电力系统自动化2023,Vol.47Issue(24):31-38,8.
电力系统自动化2023,Vol.47Issue(24):31-38,8.DOI:10.7500/AEPS20230310004

考虑绝热性能差异的建筑群与社区综合能源系统协同优化

Collaborative Optimization of Building Aggregation and Integrated Community Energy System Considering Difference in Insulation Performance

贾宏杰 1雷雨 1靳小龙 1穆云飞 1魏炜 1宫建锋2

作者信息

  • 1. 智能电网教育部重点实验室(天津大学),天津市 300072
  • 2. 国网宁夏电力有限公司经济技术研究院,宁夏回族自治区银川市 750002
  • 折叠

摘要

Abstract

In the collaborative operation of building aggregation and integrated community energy system(ICES),buildings with different insulation performances have differential thermal demand response capabilities.In order to fully mobilize their differential demand response potentials,this paper constructs a collaborative optimization framework of building aggregation and ICES considering the difference in insulation performances.First,based on the thermal storage characteristics of the buildings with heating,a resistor-capacitor network is used to model the thermal dynamic process of heat in the building envelope.Secondly,based on the thermal dynamic model of the building,a model of differential heat demand response is constructed for building users containing adjustable radiators.Then,a collaborative optimization framework based on two-layer optimization of building aggregation and ICES is proposed,and a refined heat supply price scheme that realistically responds to the heat consumption of building users is further adopted in the collaborative optimization framework.Finally,the effectiveness of the proposed method is verified by a case.

关键词

差异化绝热性能/智能建筑/社区综合能源系统/热需求响应能力/供热定价

Key words

differential insulation performance/intelligent building/integrated community energy system/thermal demand response capability/heating pricing

引用本文复制引用

贾宏杰,雷雨,靳小龙,穆云飞,魏炜,宫建锋..考虑绝热性能差异的建筑群与社区综合能源系统协同优化[J].电力系统自动化,2023,47(24):31-38,8.

基金项目

国家电网有限公司科技项目(适应新能源消纳的需求侧灵活资源调节能力精准预测与聚合调节技术研究及验证,5108-202218280A-2-242-XG) (适应新能源消纳的需求侧灵活资源调节能力精准预测与聚合调节技术研究及验证,5108-202218280A-2-242-XG)

已申请国家发明专利(申请号:CN116187537A).This work is supported by State Grid Corporation of China. (申请号:CN116187537A)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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