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

机译：随机AHP和模糊TOPSIS法评估强智能电网的可持续性。

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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.
机译：作为应对全球气候变化和能源短缺问题的有效方法，中国正在建设强大，自愈，兼容，经济和综合的智能电网，并得到大量投资和先进技术的支持。为了促进强智能电网（SSG）的建设，运营和可持续发展，从可持续性的角度提出了一种新型的评估SSG性能的混合框架。基于文献综述，专家意见和SSG的技术特征，评估模型涉及四个可持续性标准，分别定义为与12个子标准相关的经济，社会，环境和技术方面。考虑到对子标准的主观判断含糊不清，采用模糊TOPSIS法对SSG的性能进行评估。此外，与以往的研究不同，本文采用随机层次分析法（AHP）来解决权重计算中的模糊和随机因素，从而将传统的基于相似性的订单偏好技术（TOPSIS）升级。最后，通过采用建议的框架对中国的四个区域智能电网进行了排名。结果表明，与环境相关的子标准比专家组对经济的关注要高得多。此外，敏感性分析表明，无论子标准权重如何变化，排名列表都保持稳定，这验证了所提出模型和评估结果的鲁棒性和有效性。该研究为SSG的性能评估提供了一种全面而有效的方法，并且创新了传统TOPSIS的权重计算。

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