Holistic planning framework for multi-energy microgrids: A multi-objective perspective on system optimization

Sai Sasidhar Punyam Rajendran and Alemayehu Gebremedhin

Applied Energy, 2025, vol. 392, issue C, No S030626192500683X

Abstract: Multi-energy microgrids provide a sustainable and efficient solution for meeting energy demand across sectors. However, determining the optimal capacities of distributed energy resources (DERs) is challenging due to renewable generation variability and the intricate coupling of energy systems. This study developed a multi-objective planning framework to balance system costs, renewable energy integration, and curtailment reduction in cold-climate regions like Norway. The optimization problem is solved using the Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) and Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS), which enables decision-makers to select the best configuration based on predefined criteria.

Keywords: Microgrid; Multi-energy system; Multi-objective optimization; Planning; Genetic algorithm; Grid size (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1016/j.apenergy.2025.125953

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