Cloud-data envelopment analysis method used for assessment of restoration building block schemes

The selection of an optimized restoration building block (RBB) scheme among all available schemes is one of the most important factors impacting the power system restoration process after a complete or partial blackout. This paper presents a data envelopment analysis (DEA) model used as an empirical method to assess the RBB schemes. An N-level evaluation scale cloud system is built based on cloud theory to transform qualitative I/O indices of DEA model into quantitative values. Through joint utilization of the CCR (Charnes, Cooper and Rhodes) model and the LJK (Li, Jahanshahloo and Khodabakhshi) model, the established Joint-DEA model makes the newly proposed Cloud- DEA method a more feasible and robust method in assessment of RBB schemes.