Electric Power ›› 2024, Vol. 57 ›› Issue (6): 215-224.DOI: 10.11930/j.issn.1004-9649.202305075

• Technology and Economics • Previous Articles     Next Articles

Research and Modelling of Bus Marginal Carbon Intensity for Power Systems Considering Network Losses

Jing WU1(), Xuanyu LIU2(), Xiang LI1(), Xiaoyan QI1, Chengjun LI1, Zhong ZHANG2   

  1. 1. Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China
    2. School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China
  • Received:2023-05-16 Accepted:2023-08-14 Online:2024-06-23 Published:2024-06-28
  • Supported by:
    This work is supported by Science and Technology Project of Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd. (Research on Carbon Flow Analysis and Carbon Emission Monitoring Technology of Provincial Power Grid, No.2022YF-71).

Abstract:

Network losses and congestion have not been considered in the current macro carbon calculation method and carbon flow analysis method for power systems. To achieve precise analysis of carbon emission indicators for power systems, this paper proposes a model to calculate the bus marginal carbon intensity (MCI) of power system considering network losses. A MCI model is established based on coal consumption characteristics of thermal power units. Based on AC power flow model, a sensitivity model of network losses is established, and a calculation method is proposed to calculate the bus MCI of power systems. The method is further improved with consideration of network constraints. The IEEE 14-bus test system and a real 500 kV system are used to verify the correctness and applicability of the proposed model. The characteristics of MCI is analyzed under low carbon and non-low carbon dispatch modes. It is found that the positive and negative MCI of a bus is different when considering the network losses. The network factor also causes the differences of MCI of each bus. The model considering network losses can provide more accurate bus MCI information, which can be used to conduct more accurate real-time carbon emission analysis.

Key words: marginal carbon intensity, indirect carbon emissions of network loss, marginal theory, carbon flow theory, sensitivity analysis