Anti-disaster transmission expansion planning considering wind power integration using ordinal optimization

With the rapid development of various renewable energy sources, a sustainable power system planning scheme is required throughout the world. For a power grid with large-scale wind power integration, it becomes critical to achieve a better performance to supply electricity in disaster circumstances, such as ice-snow. This paper proposes an anti-disaster transmission expansion planning model, and introduces the use of ordinal optimization theory to solve this combinatorial explosion problem. The ordinal optimization focuses on obtaining a good enough solution using a softened optimization object. Finally, the IEEE 39 benchmark bus system is studied and the results prove that the proposed method is valid and efficient.