Co‐Planning of Line and Storage for Resilience Improvement of Distribution Network Under Compound Temperature–Precipitation Events

ABSTRACT The threat of compound temperature–precipitation events (CTPEs) under global climate change to the resilience of the distribution network with high‐penetration new energy (DN‐HNE) is far more serious than that of single meteorological events. Therefore, this paper proposes a co‐planning method of distribution line and storage for resilience improvement of DN‐HNE under CTPEs. First, a CTPEs identification method is proposed, and a CTPEs‐sources/load prediction model is constructed based on Sparrow Search Algorithm–Random Forest Regression prediction algorithm and coupling analysis of meteorological–electrical. Second, a double‐layer model of line‐storage co‐planning for resilience improvement under CTPEs is established. The co‐planning scheme of line and storage is optimised in the upper layer. In the lower layer, the output of each resource is decided by optimal operation simulation. Finally, the modified IEEE 33‐node distribution system is tested. The result shows that the proposed method can significantly improve the resilience and economy of DN‐HNE.