Saint Martin’s Island suffers from significant energy shortages and primarily relies on diesel generator which leads to high electricity costs and emissions. This study proposes a comprehensive methodology for identifying dispatch alternatives from PV/Wind/Diesel/Battery based microgrid (MG) configurations for the island. Multi-Criteria Decision Making (MCDM) process utilizes eight techno-economic criteria obtained from HOMER simulation. The model incorporates Weighted Sum Method, Analytic Hierarchy Process, and Technique for Order of Preference by Similarity to Ideal Solution to evaluate and rank load following, cycle charging, combined dispatch and predictive strategies. The findings reveal that MG controller performance varies with system topology. The load-following controller exhibits superior performance in wind-dominated and hybrid configurations relative to combined and predictive approaches. By contrast, cycle charging strategy is more suitable in PV/Diesel systems with the highest MCDM scores. Furthermore, hybrid MG substantially outperforms the conventional diesel-only system and reduces carbon related cost penalties. The PV/Wind/Diesel/Battery configuration achieves the lowest electricity cost of 0. 225 /kWh with maximum renewable penetration of 99. 1% using the load following operation. Sensitivity analysis indicates that the energy price rises from 0. 566 to 0. 649 /kWh under carbon penalty conditions. The proposed methodology offers a robust decision-support tool for selecting dispatch controller under multiple criteria in standalone MGs for remote island applications.
Zaman et al. (Fri,) studied this question.
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