考虑多能共享的综合能源系统低碳分布式调度  

Considering low-carbon distributed scheduling for integrated energy systems with multi-energy sharing capabilities

在线阅读下载全文

作  者:袁俊球 王迪 易文飞 张茜颖 Yuan Junqiu;Wang Di;Yi Wenfei;Zhang Qianying(Changzhou Power Supply Branch,State Grid Jiangsu Electric Power Co.,Ltd.,Changzhou 213101,China;Electric Power Science Research Institute,State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 211103,China)

机构地区:[1]国网江苏省电力有限公司常州供电分公司,江苏常州213101 [2]国网江苏省电力有限公司电力科学研究院,江苏南京211103

出  处:《能源与环保》2025年第3期184-188,197,共6页CHINA ENERGY AND ENVIRONMENTAL PROTECTION

基  金:国网江苏省电力有限公司科技项目资助(J2023081)。

摘  要:能源共享在提高系统能源利用率、减少运行成本、降低碳排放方面具有巨大潜力,随着综合能源系统的不断发展,多元能源耦合不断加强,因此研究多能共享具有重要意义。提出考虑多能共享的综合能源系统低碳分布式调度模型,将阶梯型碳交易机制引入综合能源系统的优化调度模型中,构建基于多能共享的优化调度模型,并采用交替方向乘子法实现分布式调度,减少综合能源系统的信息交互,保护隐私。最后通过算例分析验证了所提方法能够降低系统碳排放量41.6%,减少成本27.5%,并分析了天然气价格与阶梯型碳交易参数对调度结果的影响。Energy sharing holds immense potential in enhancing system energy utilization efficiency,reducing operational costs,and lowering carbon emissions.With the continuous development of integrated energy systems,the coupling of multi-energy sources is constantly strengthening.Therefore,researching multi-energy sharing is of great significance.The low-carbon distributed scheduling model for integrated energy systems with multi-energy sharing capabilities was proposed,the stepped carbon trading mechanism was introduced into the optimization scheduling model of the integrated energy system,the optimization scheduling model based on multi-energy sharing was constructed,and the alternating direction method of multiplier to achieve distributed scheduling was adopted,the information exchange in the integrated energy system was reduced to protect privacy.Finally,a case study was conducted to demonstrate that the proposed method can reduce system carbon emissions by 41.6%and costs by 27.5%.Furthermore,the impact of natural gas prices and tiered carbon trading parameters on scheduling results was analyzed.

关 键 词:能源共享 碳交易 综合能源系统 多能耦合 交替方向乘子法 

分 类 号:TK83[动力工程及工程热物理—流体机械及工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象