Directed Graph Based Carbon Flow Tracing for Demand Side Carbon Obligation Allocation

被引：0

作者：

Sun, Tao ^{[1
]}

Feng, Donghan ^{[1
]}

Ding, Teng ^{[1
]}

Chen, Lixia ^{[1
]}

You, Shi ^{[2
]}

机构：

[1] Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Dept Elect Engn, Minist Educ China,Key Lab Control Power Transmiss, Shanghai 200240, Peoples R China

[2] Tech Univ Denmark, Dept Elect Engn, Ctr Elect Power & Energy, DK-2800 Lyngby, Denmark

来源：

2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM) | 2016年

基金：

中国国家自然科学基金;

关键词：

carbon flow; carbon obligation; demand response; graph theory; low-carbon electricity; SYSTEMS;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In order to achieve carbon emission abatement, some researchers and policy makers have cast their focus on demand side carbon abatement potentials. This paper addresses the problem of carbon flow calculation in power systems and carbon obligation allocation at demand side. A directed graph based method for tracing carbon flow is proposed. In a lossy network, matrices such as carbon losses, net carbon intensity (NCI) and footprint carbon intensity (FCI) are obtained with the proposed method and used to allocate carbon obligation at demand side. Case studies based on realistic distribution and transmission systems are provided to demonstrate the effectiveness of the proposed method.

引用

页数：5

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