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A Method for Calculating Carbon Flow Distribution Information Based on the Electric Energy Allocation Results of Power Grid Source Flow

  • Jiaze Lv
  • , Jilai Yu
  • , Chengyu Li*
  • *Corresponding author for this work
  • School of Electrical Engineering and Automation, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The carbon flow distribution information in the power grid link is generated due to the electric energy allocation process of the carbon-bearing grid-connected source flow and is highly coupled with the electric energy allocation relationship of all connected source flows. To this end, this paper proposes a method for calculating carbon flow distribution information based on the electric energy allocation results of power grid source flow. Firstly, based on the electric energy flow information of the source-stream-related path chain set, calculate the carbon flow distribution information between any specified power source and load pair; secondly, based on the electric energy flow information of the source-related path chain set, the carbon flow direction information of carbon-bearing (including thermal power generation natural emission carbon and carbon market trading purchase carbon, etc.) power sources is calculated; thirdly, based on the electric energy flow information of the load-flow related path chain set, calculate the carbon traceability information of any specified load. The case study demonstrates that the method can accurately calculate the carbon flow distribution information reflecting the real-time operational status of the power grid, providing technical support for further optimizing the electric-carbon operation mode of the power grid.

Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on Power and Electrical Engineering - ICPEE 2023
EditorsJian Li
PublisherSpringer Science and Business Media Deutschland GmbH
Pages129-141
Number of pages13
ISBN (Print)9789819716739
DOIs
StatePublished - 2024
Externally publishedYes
Event4th International Conference on Power and Electrical Engineering, ICPEE 2023 - Singapore, Singapore
Duration: 3 Nov 20235 Nov 2023

Publication series

NameLecture Notes in Electrical Engineering
Volume1149 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference4th International Conference on Power and Electrical Engineering, ICPEE 2023
Country/TerritorySingapore
CitySingapore
Period3/11/235/11/23

Keywords

  • Carbon calculation
  • Carbon flow distribution information
  • Carbon flow tracing
  • Electric energy flow

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