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

Author

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  • Huiru Zhao

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Nana Li

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    School of Natural Resources and Environment, University of Michigan, Ann Arbor, MI 48108-1041, USA)

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.

Suggested Citation

  • Huiru Zhao & Nana Li, 2016. "Performance Evaluation for Sustainability of Strong Smart Grid by Using Stochastic AHP and Fuzzy TOPSIS Methods," Sustainability, MDPI, vol. 8(2), pages 1-22, January.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:2:p:129-:d:63208
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    References listed on IDEAS

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    3. Liyin Shen & Chenyang Shuai & Liudan Jiao & Yongtao Tan & Xiangnan Song, 2016. "A Global Perspective on the Sustainable Performance of Urbanization," Sustainability, MDPI, vol. 8(8), pages 1-16, August.
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    5. Dongxiao Niu & Yan Li & Shuyu Dai & Hui Kang & Zhenyu Xue & Xianing Jin & Yi Song, 2018. "Sustainability Evaluation of Power Grid Construction Projects Using Improved TOPSIS and Least Square Support Vector Machine with Modified Fly Optimization Algorithm," Sustainability, MDPI, vol. 10(1), pages 1-19, January.
    6. Yousef Alhumaid & Khalid Khan & Fahad Alismail & Muhammad Khalid, 2021. "Multi-Input Nonlinear Programming Based Deterministic Optimization Framework for Evaluating Microgrids with Optimal Renewable-Storage Energy Mix," Sustainability, MDPI, vol. 13(11), pages 1-15, May.
    7. Dianfa Wu & Zhiping Yang & Ningling Wang & Chengzhou Li & Yongping Yang, 2018. "An Integrated Multi-Criteria Decision Making Model and AHP Weighting Uncertainty Analysis for Sustainability Assessment of Coal-Fired Power Units," Sustainability, MDPI, vol. 10(6), pages 1-27, May.
    8. Pingtao Yi & Weiwei Li & Lingyu Li, 2018. "Evaluation and Prediction of City Sustainability Using MCDM and Stochastic Simulation Methods," Sustainability, MDPI, vol. 10(10), pages 1-15, October.
    9. Wenyin Yang & Lin Liu & Xiaobao Yu, 2017. "Evaluating the Comprehensive Benefit of Group-Affiliated New Energy Power Generation Enterprises for Sustainability: Based on a Combined Technique of STBI and TOPSIS," Sustainability, MDPI, vol. 10(1), pages 1-22, December.
    10. Yuquan Meng & Yuhang Yang & Haseung Chung & Pil-Ho Lee & Chenhui Shao, 2018. "Enhancing Sustainability and Energy Efficiency in Smart Factories: A Review," Sustainability, MDPI, vol. 10(12), pages 1-28, December.
    11. Peipei You & Sen Guo & Haoran Zhao & Huiru Zhao, 2017. "Operation Performance Evaluation of Power Grid Enterprise Using a Hybrid BWM-TOPSIS Method," Sustainability, MDPI, vol. 9(12), pages 1-15, December.
    12. Pingtao Yi & Lu Wang & Danning Zhang & Weiwei Li, 2019. "Sustainability Assessment of Provincial-Level Regions in China Using Composite Sustainable Indicator," Sustainability, MDPI, vol. 11(19), pages 1-20, September.

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