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Carbon responsibility allocation method based on complex structure carbon emission flow theory.

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This study introduces a new method for allocating carbon responsibility in electric power systems. It enhances low-carbon development by accurately assigning emissions from network losses and user behavior.

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Area of Science:

  • Electrical Engineering
  • Environmental Science
  • Complex Systems Theory

Background:

  • Unclear carbon responsibility allocation hinders low-carbon development in electric power systems.
  • Existing methods lack precision in assigning emissions across various system links.
  • Need for advanced theories to manage carbon emissions in evolving power grids.

Purpose of the Study:

  • To propose a novel carbon responsibility allocation method for electric power systems.
  • To enhance the accuracy of carbon emission distribution in low-carbon power development.
  • To integrate complex structure carbon emission flow theory with practical allocation strategies.

Main Methods:

  • Analysis of carbon emission flow calculation, distribution, and mechanisms.
  • Introduction of the "carbon potential of complex structure" concept.
  • Development of allocation methods for network loss and user electricity consumption behavior.
  • Validation using improved IEEE 6-bus and 30-bus test systems.

Main Results:

  • Accurate carbon responsibility allocation for each system link was achieved.
  • The "carbon potential of complex structure" effectively tracks "carbon trajectory" and "green trajectory".
  • The proposed method was validated on standard power system test cases.

Conclusions:

  • The complex structure carbon potential enhances electric power carbon emission research for low-carbon development.
  • This approach offers new optimization opportunities for distribution network operations.
  • The method bridges the gap between carbon emission evaluation and optimization decisions.