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Multi-Method Convergence Protocol for Robust Multi-Criteria Ranking in Controlling Strategies of Photovoltaic Systems

Article scientifique 2026 Autre

Résumé

This paper proposes a Multi-Method Convergence Protocol (MMCP) for the robust ranking of 16 Maximum Power Point Tracking (MPPT) strategies applied to a photovoltaic (PV)-boost system.Unlike singlecriterion comparisons, the approach integrates a hybrid objective weighting scheme based on Criteria Importance Through Intercriteria Correlation (CRITIC)-entropy, four complementary Multi-Criteria Decision-Making (MCDM) methods-Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Preference Ranking Organization Method for Enrichment Evaluation II (PROMETHEE II), VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), and Elimination and Choice Translating Reality II (ELECTRE II), and a consensus-based aggregation using Borda-Copeland rules.The proposed MMCP results reveal a stable and highly convergent ranking.The final aggregation ranks the Fuzzy Logic controller first, with a Borda score of 60, a Copeland score of 15, and a total score of 75, followed by the standalone artificial neural network (ANN)-based MPPT and the sliding mode control-artificial neural network (SMC-ANN) method.Intermediate positions are occupied by sliding mode control 1st order (SMC1), sliding mode control 2nd order (SMC2), and Incremental Conductance (INC)-based MPPT optimized by Whale Optimization Algorithm (INC-WOA), while Perturb and Observe (P&O)-based MPPT Algorithm and INC-based MPPT Algorithm rank last.The robustness of the decision-making process is confirmed by strong agreement among methods, with Spearman coefficients ranging from 0.891 to 0.997 and Kendall's coefficient of concordance of 0.9449.These findings demonstrate that the proposed MMCP framework provides a consistent, traceable, and methodologically robust global ranking, facilitating the selection of MPPT strategies based on an explicit multicriteria trade-off of the photovoltaic system.

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Amor, W., Bahri, N., Ghariani, M. (2026). Multi-Method Convergence Protocol for Robust Multi-Criteria Ranking in Controlling Strategies of Photovoltaic Systems. https://doi.org/10.56578/ijepm110206

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Auteur(s)

Walid Ouled Amor Nejmeddine Bahri Moez Ghariani

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