Distributed Carbon Meter System Based on Iterative Calculation of Carbon Emission Flow (I): Theoretical Method and Analysis

被引：0
|
作者：
Li Y. [1 ]
Li Y. [1 ]
Liu Y. [1 ]
Wang Y. [2 ]
Bao W. [1 ]
Zhou T. [1 ]
Kang C. [1 ,3 ]
机构：
[1] Tsinghua Sichuan Energy Internet Research Institute, Sichuan Province, Chengdu
[2] Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR
[3] Department of Electrical Engineering, Tsinghua University, Haidian District, Beijing
来源：
Dianwang Jishu/Power System Technology | 2023年 / 47卷 / 06期
基金：
中国国家自然科学基金;
关键词：
carbon emission flow; carbon meter device; carbon metering; iterative method; low-carbon electricity;
D O I：
10.13335/j.1000-3673.pst.2023.0476
中图分类号：
学科分类号：
摘要：
The accurate and real-time carbon metering, as the driving force behind the ‘double carbon” strategy, provides a quantitative basis for the carbon emission reduction, carbon markets and carbon trading. A carbon metering system depends on the robust carbon metering theories. However, the traditional calculation methods of carbon emission flow are insufficient to address the needs of the local carbon metering at the carbon emission sources. In response to the foregoing, this paper proposes an iterative calculation of carbon emission flow in the power system. Firstly, a mathematical model of the iterative method based on the adjacency characteristics of the buses is developed. The stability of convergence and the computability of the convergence times are then demonstrated based on the characteristics of the power grid flow. Furthermore, the practicality of utilizing the carbon meter devices to measure the carbon emission flow locally is analyzed, the synergy of the carbon meter devices in the source, network and load sides is investigated, and the applicability of the carbon meter devices in generalized bus scenarios is broadened. Finally, simulation examples of a 4-bus system and the IEEE 14-bus system are used to validate the high efficiency and accuracy of the proposed iterative method. The method proposed in this research provides a theoretical foundation for the hardware implementation of the distributed carbon meter system. © 2023 Power System Technology Press. All rights reserved.
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页码：2165 / 2173
页数：8
相关论文
共 22 条
  • [1] WANG Can, ZHANG Yaxin, Implementation pathway and policy system of carbon neutrality vision[J], Environmental Conformity Assessment, 12, 6, pp. 58-64, (2020)
  • [2] KANG Chongqing, DU Ershun, LI Yaowang, Key scientific problems and research framework for carbon perspective research of new power systems[J], Power System Technology, 46, 3, pp. 821-833, (2022)
  • [3] CHEN Lixia, SUN Tao, ZHOU Yun, Method of carbon obligation allocation between generation side and demand side in power system[J], Automation of Electric Power Systems, 42, 19, pp. 106-111, (2018)
  • [4] LENZEN M, MUNKSGAARD J．, Energy and CO2 life-cycle analyses of wind turbines review and applications[J], Renewable Energy, 26, 3, pp. 339-362, (2002)
  • [5] Chongqing KANG, ZHOU Tianrui, CHEN Qixin, Carbon emission flow from generation to demand：a network-based model[J], IEEE Transactions on Smart Grid, 6, 5, pp. 2386-2394, (2015)
  • [6] ZHOU Tianrui, KANG Chongqing, XU Qianyao, Preliminary theoretical investigation on power system carbon emission flow[J], Automation of Electric Power Systems, 36, 7, pp. 38-43, (2012)
  • [7] ZHOU Tianrui, KANG Chongqing, XU Qianyao, Preliminary investigation on a method for carbon emission flow calculation of power system[J], Automation of Electric Power Systems, 36, 11, pp. 44-49, (2012)
  • [8] ZHOU Tianrui, KANG Chongqing, XU Qianyao, Analysis on distribution characteristics and mechanisms of carbon emission flow in electric power network[J], Automation of Electric Power Systems, 36, 15, pp. 39-44, (2012)
  • [9] KANG Chongqing, CHENG Yaohua, SUN Yanlong, Recursive calculation method of carbon emission flow in power systems[J], Automation of Electric Power Systems, 41, 18, pp. 10-16, (2017)
  • [10] BIALEK J．, Tracing the flow of electricity[J], IEE Proceedings-Generation，Transmission and Distribution, 143, 4, pp. 313-320, (1996)
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