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低碳园区冷热电能源资源互动运行优化

高超 陈亚彬 王长伟 韦斌 吴杰康 杨宜豪

分布式能源2025,Vol.10Issue(2):58-68,11.
分布式能源2025,Vol.10Issue(2):58-68,11.DOI:10.16513/j.2096-2185.DE.(2025)010-02-0058-11

低碳园区冷热电能源资源互动运行优化

Optimization of Integrated Heating-Cooling-Power Energy Resource Interaction in Low-Carbon Parks

高超 1陈亚彬 1王长伟 1韦斌 1吴杰康 2杨宜豪2

作者信息

  • 1. 广东电网有限责任公司,广东省 广州市 510600
  • 2. 广东工业大学自动化学院,广东省 广州市 510006
  • 折叠

摘要

Abstract

In response to the"dual carbon"strategic goals,the interactive linkage of tiered carbon trading,green certificate trading,and demand response holds significant importance.Their interaction can reduce carbon emissions and operational costs in parks.Firstly,a mathematical model for green certificate-tiered carbon trading is constructed.Secondly,a demand response mechanism is incorporated to guide user electricity behavior,promote the integration of renewable energy,and reduce system operating costs.Then,the total system operating cost and total carbon emissions are set as the objective functions for multi-objective optimization scheduling.The model is solved to obtain a Pareto solution set,and the technique for order preference by similarity to ideal solution(TOPSIS)combined with grey relational analysis is employed to determine the ideal solution from the Pareto set.Finally,multiple scenarios are configured for comparative analysis,verifying the practicality and effectiveness of the proposed model.

关键词

低碳园区/绿证交易/阶梯式碳交易/需求响应/逼近理想解排序法(TOPSIS)-灰色关联分析法/协同调控优化模型

Key words

low-carbon parks/green certificate trading/tiered carbon trading/demand response/technique for order preference by similarity to ideal solution(TOPSIS)-grey relational analysis method/collaborative regulation optimization model

分类

能源与动力

引用本文复制引用

高超,陈亚彬,王长伟,韦斌,吴杰康,杨宜豪..低碳园区冷热电能源资源互动运行优化[J].分布式能源,2025,10(2):58-68,11.

基金项目

广东省基础与应用基础研究基金区域联合基金项目:粤港澳研究团队项目(2020B1515130001) (2020B1515130001)

广东电网有限责任公司电力规划专题研究项目(031000QQ00220019)This work is supported by Guangdong Province Basic and Applied Basic Research Fund Regional Joint Fund Project:Guangdong Hong Kong Macao Research Team Project(2020B1515130001) (031000QQ00220019)

Special Research Project of Power Planning of Guangdong Power Grid Co.,Ltd.(031000QQ00220019) (031000QQ00220019)

分布式能源

2096-2185

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