A Robust Low-Carbon Optimal Dispatching Method for Power System Distribution Based on LCA Carbon Emissions

Peng Xi, Chenguang Yang, Xiaobin Xu, Hangtian Li, Shiqiang Lu and Jinchao Li ()
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Peng Xi: State Grid Hebei Economic Research Institute, Shijiazhuang 050023, China
Chenguang Yang: State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050023, China
Xiaobin Xu: State Grid Hebei Economic Research Institute, Shijiazhuang 050023, China
Hangtian Li: State Grid Hebei Economic Research Institute, Shijiazhuang 050023, China
Shiqiang Lu: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Jinchao Li: School of Economics and Management, North China Electric Power University, Beijing 102206, China

Energies, 2025, vol. 18, issue 13, 1-16

Abstract: Under the dual carbon goal, in order to promote the consumption of new energy and reduce carbon emissions in power systems, this paper proposes a new distributed robust low-carbon optimization scheduling method for power systems based on LCA carbon emissions. Firstly, the carbon emissions of energy consumption in the power system are calculated based on the LCA method; secondly, a distributed robust optimization scheduling model is established with the goal of minimizing carbon emissions and economic costs. The model is linearly solvable through the description of uncertain parameters and the transformation of the model. Finally, the optimization results of the example scenario indicate that the distributed robust low-carbon optimization scheduling method based on LCA carbon emissions can effectively reduce carbon emissions and costs compared to traditional methods, providing theoretical support for the new low-carbon optimization strategy of power systems.

Keywords: new power system; LCA carbon emissions; distributed robust optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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