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<p>Selection of a suitable technology combination (TC) for Independent Micro-Grids (IMGs) is serious for sustainable planning in economic, technical, ecological, and communal aspects. Although previous studies have addressed TC sizing or sustainability evaluation, the impact of parameter prioritization across multiple decision-making methods remains underexplored. This work aims to develop a comprehensive framework that integrates optimal TC sizing, ranking, multi-criteria assessment and sensitivity analysis to determine the most robust and sustainable TCs for IMGs. The work involves optimizing nine TCs using a Butterfly-PSO (BFPSO) and ranking them with eight distinct Multi-Criteria-Decision-Making (MCDM) techniques viz. TOPSIS, VIKOR, PROMETHEE-II, WSM, WPM, WASPAS, EDAS, and CODAS. The weights for the parameters were estimated using AHP with respect to economic, technical, ecological, and communal criteria. Sensitivity analysis is then conducted by varying criterion weights from 30% to 100% to assess their influence on TC rankings. Results reveal that TC 1 (Solar PV, Wind Turbine Generator, and Biomass Technology) consistently performs well under technical and communal priorities, TC 9 (Solar PV and Battery Storage) excels under economic and communal emphasis, and TC 3 (Solar PV, Wind Turbine, and Battery Storage) leads ecological criteria. Although some TCs maintain stable rankings across all MCDM methods, others exhibit high sensitivity to parameter weighting, underlines the need to balance the multiple dimensions of sustainability. The study concludes that renewable energy-based TCs can achieve economic, ecological, and technical resilience when selected using integrated MCDM and sensitivity analyses, providing a robust framework for sustainable IMG planning.</p>

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Sensitivity Analysis of Sustainability Dimensions in Technology Ranking in Multi-Criteria Decision-Making Approaches

  • 期刊论文

  • 发表日期：

    2025年12月9日

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  • Nishant Thakkar,
  • Priyanka Paliwal,
  • Narayan Prasad Gupta,
  • Rakeshwri Agrawal

摘要

Selection of a suitable technology combination (TC) for Independent Micro-Grids (IMGs) is serious for sustainable planning in economic, technical, ecological, and communal aspects. Although previous studies have addressed TC sizing or sustainability evaluation, the impact of parameter prioritization across multiple decision-making methods remains underexplored. This work aims to develop a comprehensive framework that integrates optimal TC sizing, ranking, multi-criteria assessment and sensitivity analysis to determine the most robust and sustainable TCs for IMGs. The work involves optimizing nine TCs using a Butterfly-PSO (BFPSO) and ranking them with eight distinct Multi-Criteria-Decision-Making (MCDM) techniques viz. TOPSIS, VIKOR, PROMETHEE-II, WSM, WPM, WASPAS, EDAS, and CODAS. The weights for the parameters were estimated using AHP with respect to economic, technical, ecological, and communal criteria. Sensitivity analysis is then conducted by varying criterion weights from 30% to 100% to assess their influence on TC rankings. Results reveal that TC 1 (Solar PV, Wind Turbine Generator, and Biomass Technology) consistently performs well under technical and communal priorities, TC 9 (Solar PV and Battery Storage) excels under economic and communal emphasis, and TC 3 (Solar PV, Wind Turbine, and Battery Storage) leads ecological criteria. Although some TCs maintain stable rankings across all MCDM methods, others exhibit high sensitivity to parameter weighting, underlines the need to balance the multiple dimensions of sustainability. The study concludes that renewable energy-based TCs can achieve economic, ecological, and technical resilience when selected using integrated MCDM and sensitivity analyses, providing a robust framework for sustainable IMG planning.