1.Global Energy Interconnection Development and Cooperation Organization, Beijing 100031, China;2.Global Energy Interconnection Group Co., Ltd., Beijing 100031, China;3.Laboratory of Carbon Energy, Tsinghua University, Beijing 100084, China;4.State Grid Anhui Electric Power Co., Ltd., Hefei 230022, China
The technology progress plays an important role in supporting the low-carbon transition of power systems. At the same time, the development of technology should also aim at the realization of the low-carbon transition of power systems. Especially in the long-term time scale, the mutual interaction between them is more significant. China promises to achieve the goal of carbon neutrality of the whole society before 2060, and the power system will gradually achieve low-carbon or even zero-carbon emissions. The development level of key technologies such as clean energy power generation, ultra-high voltage (UHV) power transmission and energy storage has become an important factor in the economic feasibility of power system transition, and the development of the key technologies should also be accelerated with the goal of carbon neutrality. In order to quantitatively evaluate the coupling and matching relationship between the key technology progress and the economic feasibility of the low-carbon transition of power systems, a framework and a method of collaborative optimization of them are proposed. It combines the technology maturity and economy with the power system expansion planning model, and takes the 2060 long-term power planning of China as a case to study the economic feasibility of the clean low-carbon transition for the power system in different technology development scenarios, and the contribution of different technologies to the reduction of the overall unit electricity cost of the whole system is analyzed.
This work is supported by State Grid Corporation of China (No. 1300-202155460A-0-0-00).
[1] | HOU Jinming, SUN Wei, XIAO Jinyu, et al. Collaborative Optimization of Key Technology Progress and Low-carbon Transition of Power Systems[J]. Automation of Electric Power Systems,2022,46(13):1-9. DOI:10.7500/AEPS20220105011 |