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Sustainability 2016, 8(2), 129; doi:10.3390/su8020129

Performance Evaluation for Sustainability of Strong Smart Grid by Using Stochastic AHP and Fuzzy TOPSIS Methods

1
and
1,2,*
1
School of Economics and Management, North China Electric Power University, Beijing 102206, China
2
School of Natural Resources and Environment, University of Michigan, Ann Arbor, MI 48108-1041, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Andrew Kusiak
Received: 21 November 2015 / Revised: 26 January 2016 / Accepted: 27 January 2016 / Published: 30 January 2016
View Full-Text   |   Download PDF [2323 KB, uploaded 30 January 2016]   |  

Abstract

As an efficient way to deal with the global climate change and energy shortage problems, a strong, self-healing, compatible, economic and integrative smart gird is under construction in China, which is supported by large amounts of investments and advanced technologies. To promote the construction, operation and sustainable development of Strong Smart Grid (SSG), a novel hybrid framework for evaluating the performance of SSG is proposed from the perspective of sustainability. Based on a literature review, experts’ opinions and the technical characteristics of SSG, the evaluation model involves four sustainability criteria defined as economy, society, environment and technology aspects associated with 12 sub-criteria. Considering the ambiguity and vagueness of the subjective judgments on sub-criteria, fuzzy TOPSIS method is employed to evaluate the performance of SSG. In addition, different from previous research, this paper adopts the stochastic Analytical Hierarchy Process (AHP) method to upgrade the traditional Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) by addressing the fuzzy and stochastic factors within weights calculation. Finally, four regional smart grids in China are ranked by employing the proposed framework. The results show that the sub-criteria affiliated with environment obtain much more attention than that of economy from experts group. Moreover, the sensitivity analysis indicates the ranking list remains stable no matter how sub-criteria weights are changed, which verifies the robustness and effectiveness of the proposed model and evaluation results. This study provides a comprehensive and effective method for performance evaluation of SSG and also innovates the weights calculation for traditional TOPSIS. View Full-Text
Keywords: strong smart grid; Performance evaluation; Fuzzy TOPSIS; Stochastic AHP; sustainability; sensitivity analysis strong smart grid; Performance evaluation; Fuzzy TOPSIS; Stochastic AHP; sustainability; sensitivity analysis
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zhao, H.; Li, N. Performance Evaluation for Sustainability of Strong Smart Grid by Using Stochastic AHP and Fuzzy TOPSIS Methods. Sustainability 2016, 8, 129.

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