An Interval Fractional Electric Power System Planning Model for CO2 Emission Intensity Reduction: A Case Study of Fujian, China

Using low-carbon/zero-carbon energy sources and negative emission technologies, and economic policies have proven to be effective measures for electric power plants’ CO2 emission mitigation. This study constructs an interval fractional electric power system planning (IFES) model for minimizing CO2 emission intensity considering the interactions between the measures and other constraints under uncertainty. The model is applied to Fujian Province as a real-case study, which contains electricity mix improvement, three types of CO2 emission reduction technologies, one policy. It was found that: (i) System carbon emission intensity is [170, 213] g/RMB; (ii) The proportion of clean energy power generation in Fujian Province will reach [92.32, 93.13]% in the 2055–2060, with nuclear energy, wind power and photovoltaic power generation ranking the top three; (iii) The electricity mix improvement has made the greatest contribution to the carbon neutrality of the power system (74.62%), and the contributions of CCS, DAC, and ESC are (9.11, 5.25, 11.02%) respectively. The research results provide scientific planning solutions for carbon reduction in the power industry in Fujian Province. The developed IF-ESP model can also be used in other regions around the world.