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

Yun Zhou; Zheng Yan; Naihu Li; Lingfeng Yu; Lingfeng Zhou; Lixia Chen

doi:10.17775/CSEEJPES.2015.00018

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

更新时间：2025-12-18

- Cloud-data envelopment analysis method used for assessment of restoration building block schemes
- CSEE Journal of Power and Energy Systems Vol. 1, Issue 2, Pages: 43-52(2015)
- 作者机构：
  
  1. Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Department of Electrical Engineering, Shanghai Jiao Tong University,Shanghai,China,200240
  2. Alstom Grid China Technology Center (CTC),Shanghai,China,201114
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2015.00018
  CLC：
- Published：2015
- 稿件说明：
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Yun Zhou, Zheng Yan, Naihu Li, et al. Cloud-data envelopment analysis method used for assessment of restoration building block schemes[J]. CSEE Journal of Power and Energy Systems, 2015, 1(2): 43-52.
DOI：

Yun Zhou, Zheng Yan, Naihu Li, et al. Cloud-data envelopment analysis method used for assessment of restoration building block schemes[J]. CSEE Journal of Power and Energy Systems, 2015, 1(2): 43-52. DOI： 10.17775/CSEEJPES.2015.00018.

摘要

Abstract

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.

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