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Developing an evaluation method for SCADA-Controlled urban gas infrastructure hierarchical design using multi-level fuzzy comprehensive evaluation

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  • Liu, Wu
  • Hui, Longxuan
  • Lu, Yuting
  • Tang, Jinsong

Abstract

Currently, China's urban gas supervisory control and data acquisition (SCADA) system faces numerous problems, such as weak information system architecture, incomplete information (& communication) infrastructure design, and an uneven development level. A capable comprehensive evaluation method is urgently needed to achieve a hierarchical design of their infrastructure. This study introduces a multi-level fuzzy comprehensive evaluation (FCE) method using the analytic hierarchy process (AHP), coupled with particle swarm optimization (PSO). By combining qualitative and quantitative analysis, an evaluation index system for a multi-dimensional SCADA-controlled urban gas infrastructure hierarchical design is developed based on the scale of operations, regional safety risk, and management situation. The consistency test, correction, and evaluation index weight value of the judgement matrix in AHP are transformed into a nonlinear constrained optimization problem, which is then solved using PSO. Then, combined with the fuzzy mathematical theory, the membership function is used to compute the membership levels of the indicators at all levels. Finally, the multi-dimensional and multi-index fuzzy comprehensive evaluation of the hierarchical design of SCADA-controlled gas infrastructure is implemented. The proposed evaluation approach was used to evaluate 20 branches of the Sichuan Chuangang Gas Company. The results show that the method is applicable to the hierarchical design of SCADA-controlled gas infrastructure and can serve as reference for other gas companies in developing SCADA-controlled gas infrastructure.

Suggested Citation

  • Liu, Wu & Hui, Longxuan & Lu, Yuting & Tang, Jinsong, 2020. "Developing an evaluation method for SCADA-Controlled urban gas infrastructure hierarchical design using multi-level fuzzy comprehensive evaluation," International Journal of Critical Infrastructure Protection, Elsevier, vol. 30(C).
    • Handle: RePEc:eee:ijocip:v:30:y:2020:i:c:s1874548220300391
    DOI: 10.1016/j.ijcip.2020.100375
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    1. Saud Alshehri & Yacine Rezgui & Haijiang Li, 2015. "Delphi-based consensus study into a framework of community resilience to disaster," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(3), pages 2221-2245, February.
    2. Daniel (Jian) Sun & Lily Elefteriadou, 2014. "A Driver Behavior-Based Lane-Changing Model for Urban Arterial Streets," Transportation Science, INFORMS, vol. 48(2), pages 184-205, May.
    3. Wang, Zhiwei & Lei, Tingzhou & Chang, Xia & Shi, Xinguang & Xiao, Ju & Li, Zaifeng & He, Xiaofeng & Zhu, Jinling & Yang, Shuhua, 2015. "Optimization of a biomass briquette fuel system based on grey relational analysis and analytic hierarchy process: A study using cornstalks in China," Applied Energy, Elsevier, vol. 157(C), pages 523-532.
    4. Chengguang Lai & Xiaohong Chen & Xiaoyu Chen & Zhaoli Wang & Xushu Wu & Shiwei Zhao, 2015. "A fuzzy comprehensive evaluation model for flood risk based on the combination weight of game theory," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 1243-1259, June.
    5. Kou, Gang & Ergu, Daji & Shang, Jennifer, 2014. "Enhancing data consistency in decision matrix: Adapting Hadamard model to mitigate judgment contradiction," European Journal of Operational Research, Elsevier, vol. 236(1), pages 261-271.
    6. Daniel (Jian) Sun & Shukai Chen & Chun Zhang & Suwan Shen, 2016. "A bus route evaluation model based on GIS and super-efficient data envelopment analysis," Transportation Planning and Technology, Taylor & Francis Journals, vol. 39(4), pages 407-423, June.
    7. Kabir, Golam & Sumi, Razia Sultana, 2014. "Power substation location selection using fuzzy analytic hierarchy process and PROMETHEE: A case study from Bangladesh," Energy, Elsevier, vol. 72(C), pages 717-730.
    8. Kaya, Tolga & Kahraman, Cengiz, 2010. "Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul," Energy, Elsevier, vol. 35(6), pages 2517-2527.
    9. Yasir Ahmed Solangi & Qingmei Tan & Muhammad Waris Ali Khan & Nayyar Hussain Mirjat & Ifzal Ahmed, 2018. "The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application," Energies, MDPI, vol. 11(8), pages 1-26, July.
    10. Cynthia Changxin Wang & Samad M.E. Sepasgozar & Mudan Wang & Jun Sun & Xin Ning, 2019. "Green Performance Evaluation System for Energy-Efficiency-Based Planning for Construction Site Layout," Energies, MDPI, vol. 12(24), pages 1-21, December.
    11. Ming-Tien Tsai & Hsueh-Liang Wu & Wen-Ko Liang, 2008. "Fuzzy Decision Making for Market Positioning and Developing Strategy for Improving Service Quality in Department Stores," Quality & Quantity: International Journal of Methodology, Springer, vol. 42(3), pages 303-319, June.
    12. Choudhary, Devendra & Shankar, Ravi, 2012. "An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India," Energy, Elsevier, vol. 42(1), pages 510-521.
    13. Sánchez-Lozano, J.M. & García-Cascales, M.S. & Lamata, M.T., 2016. "GIS-based onshore wind farm site selection using Fuzzy Multi-Criteria Decision Making methods. Evaluating the case of Southeastern Spain," Applied Energy, Elsevier, vol. 171(C), pages 86-102.
    14. Stevan Djenadic & Dragan Ignjatovic & Milos Tanasijevic & Ugljesa Bugaric & Ivan Jankovic & Tomislav Subaranovic, 2019. "Development of the Availability Concept by Using Fuzzy Theory with AHP Correction, a Case Study: Bulldozers in the Open-Pit Lignite Mine," Energies, MDPI, vol. 12(21), pages 1-18, October.
    15. Chengxin Fan & Fengshan Dou & Baiming Tong & Zhiqiang Long, 2016. "Risk Analysis Based on AHP and Fuzzy Comprehensive Evaluation for Maglev Train Bogie," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-10, January.
    16. Awasthi, Anjali & Govindan, Kannan & Gold, Stefan, 2018. "Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach," International Journal of Production Economics, Elsevier, vol. 195(C), pages 106-117.
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