Integrated Intelligent Energy ›› 2023, Vol. 45 ›› Issue (8): 1-10.doi: 10.3969/j.issn.2097-0706.2023.08.001

• Optimal Operation and Control •     Next Articles

Carbon flow tracking method of power systems based on the complex power distribution matrix

YAN Limei(), HU Wenshuo*()   

  1. School of Electrical and Information Engineering, Northeast Petroleum University, Daqing 163318, China
  • Received:2023-05-15 Revised:2023-06-21 Accepted:2023-07-26 Published:2023-08-25
  • Supported by:
    National Natural Science Foundation of China(51774088)

Abstract:

The proposal of the dual carbon target prompts the low carbon transformation of power systems. To obtain the carbon flow and distribution in a power grid, a carbon flow tracking method for power systems based on the complex power distribution matrix is proposed. The matrix is constructed based on precise carbon footprint tracking results. And the power generated by different units at each node in a lossy network is obtained. Then, a carbon emission model for thermal power units is constructed based on types of the units and their long-term operating data. Finally, based on the power supply-side carbon emissions and the conversion relationship between carbon flow and power flow obtained from the model, the carbon emission distributions varying with the loads, branches, and network losses are analyzed. The carbon emissions of network losses are divided according to the coupling relationship between active and reactive power, achieving accurate tracking of the carbon flow in the power system. The proposed model was tested in an IEEE 14 node system and an IEEE 30 node system, whose results verified the effectiveness of the carbon flow tracking model in calculating real-time carbon emissions of the power system, carbon emissions of different loads, branches and network losses. The model stated the influence of reactive power on carbon emissions,which can guide the carbon emission responsibility allocation on user side and the carbon emission reduction strategy making.

Key words: dual carbon target, low carbon transformation, complex power distribution matrix, precise power flow, carbon flow tracking, carbon emissions

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