首页|3,4-Quasirung Fuzzy Based Prospect Theory Approach for Identification of Suitable Microgrid Scenario

3,4-Quasirung Fuzzy Based Prospect Theory Approach for Identification of Suitable Microgrid Scenario

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In the present work, 3,4-Quasirung fuzzy TOmada de Decisao Iterativa Multicriterio (TODIM) has been proposed as a novel decision-making framework. These fuzzy sets have been employed to model the linguistic preferences which are aggregated using quasirung fuzzy weight average aggregation operator. The TODIM approach has been employed to rank the considered scenarios. The application of the proposed approach is exhibited through a case study on microgrid for rural electrification in India. Sixteen possible microgrid scenarios have been evaluated considering technical, social, environmental, and economic performance measures. The microgrid scenarios have been framed from different combinations of diesel generator (DiG), photovoltaics (PV), battery, converter, fuel cell and wind turbine. Both grid connected and islanded modes have been considered for each possible combination. With the help of average dominance score the assessment of highest score is revealed for the PV/DiG-battery-converter combination which is followed with PV/WT/DiG-battery-converter microgrid scenario. Sensitivity analysis revealed robustness of the deduced ranking results.

Decision-makingEconomic analysisEnvironment analysisFuzzy-MCDMHybrid renewable energyMicrogrid

Sweta Singh、Neeraj Kanwar、Divya Zindani

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Department of Electrical Engineering, Manipal University Jaipur, Jaipur, India

Department of Mechanical Engineering, Sri Sivasubramaniya Nadar (SSN) College of Engineering, Chennai, India

2025

Journal of The Institution of Engineers (India), Series B. Electrical eingineering, electronics and telecommunication engineering, computer engineering