1.State Grid Fujian Electric Power Co., Ltd., Fuzhou 350001, China;2.Institute of Economic and Technology of State Grid Fujian Electric Power Co., Ltd., Fuzhou 350012, China

In recent years, the increasing extreme weather such as the continuous high-temperature draught and low-temperature ice-coating has caused the power supply-demand imbalance in regional power systems, resulting in the occurrence of large-scale power outages or load curtailment. The main reason is that in the new power system, extreme weather has higher impact on supply-demand balance. Aiming at the long-term climate change, a framework of resilience assessment and enhancement of the power system is illustrated. Firstly, a compact operation model of power systems considering the climate parameters is established to characterize the impact of different types of extreme weather on various power sources, power grids, and loads. Secondly, an extreme scenario generation method based on the modular denoising variational autoencoder (MDVAE) algorithm is proposed. Finally, a multi-type power source expansion planning method of new power systems is proposed for power supply-demand guarantees under the continuous extreme weather. Based on the typical source-load scenario set generated from the extreme weather data in a province in South China, the proposed collaborative planning method is verified by the simulation with IEEE standard cases.