Electric Power ›› 2024, Vol. 57 ›› Issue (3): 183-189.DOI: 10.11930/j.issn.1004-9649.202309122

• New Energy • Previous Articles     Next Articles

Risk Assessment of Clean and Low-Carbon Energy Transformation Considering Superimposed Scenario of Multiple Factors

Yinan WANG(), Jing LU(), Xingtong CHEN, Hongcai DAI   

  1. 1. State Grid Energy Research Institute Co., Ltd., Beijing 102209, China
  • Received:2023-09-27 Accepted:2023-12-26 Online:2024-03-23 Published:2024-03-28
  • Supported by:
    This work is supported by the Science and Technology Project of SGCC (Research on Key Technologies of Carbon and Electricity Collaborative Planning and Low-Carbon Energy Internet that Support the Integrated Development of Clustered New Energy and Large Receiver Power Grids, No.5100-202119559A-0-5-SF).

Abstract:

At present, China's clean and low-carbon energy transformation mainly faces four risks: sustainable supply, sociality, geography, and sanctions. This article establishes a risk assessment model for clean and low-carbon energy transformation and arranges 11 superposed scenarios of risk factors according to the combinations of "superposition of two factors, three factors, and all factors". Based on the analytic hierarchy process, the probability and impact degree of various scenarios in clean and low-carbon energy transformation are studied. On this basis, power grid enterprises are suggested as backbone enterprises serving clean and low-carbon energy transformation and promoting new power system construction. It is necessary to moderately advance the construction of power grids and the development of regulatory resources, promote the construction of risk warning, policy dynamic evaluation, and key raw materials for clean and low-carbon energy transformation, as well as research and development reserve mechanisms of "bottleneck" technology, and focus on preventing the impact of dual endogenous risks and dual external risks.

Key words: energy transformation, clean and low-carbon, multiple factors, superimposed scenarios, risk assessment