Worldwide global warming has become a crisis for all human beings. As the largest carbon emitter in the world, China has committed to reducing its carbon emissions to net-zerobefore2060.Considering the fact that the energy system is the largest emission source in China, reducing carbon emissions from burning fossil fuels has significant meaning for this country. This paper establishes an hourly low-carbon energy system planning model, which jointly considers load curve and renewable energy output characteristics by using mixed-integer linear programming method. Also, the model creatively introduces the function of seasonal regulation of hydropower stations into the planning model of the low-carbon energy system. Sichuan Province, one of the largest suppliers of renewable energy in China, is selected as a case study. The case study discusses the possibility of realizing a carbon-neutral power energy system in Sichuan Province in 2060 under two scenarios, lower demand and higher demand. Under the scenario of lower load estimation, that is, when the annual load is634.8 TWh, Sichuan can reduce carbon emissions to zero at a reasonable annual cost of 11.6 billion CNY. The high-load scenario assumes that all potential renewable energy has been explored in the province. This scenario can generate 878.4 TWh of clean electricity every year, with an annualized cost of 34.3 billion CNY.
Keywords Low carbon power system planning model, Carbonneutrality, Optimal operation solution, Sichuan