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Paper ThuS3T2.1

Chafiq, Meryam (Mohammadia School of Engineers, Mohammed V University in Rabat, ), Benabbou, Loubna (Département Sciences de la Gestion, Université du Québec à Rimou), Dagdougui, Hanane (Department of Mathematics and Industrial Engineering, Polytechni), Belhaj, Ismail (Masen R&D, Moroccan Agency for Sustainable Energy, Morocco), Djdiaa, Abdelali (Masen R&D, Moroccan Agency for Sustainable Energy, Morocco), Bouzekri, Hicham (Masen R&D, Moroccan Agency for Sustainable Energy, Morocco), Berrado, Abdelaziz (Research Team AMIPS, Mohammadia School of Engineers, Mohammed V )

An Analytic Hierarchy Process Based Approach for Assessing the Performance of Photovoltaic Solar Power Plants

Scheduled for presentation during the Regular Session "Young Authors Award special session" (ThuS3T2), Thursday, July 11, 2024, 15:30−15:50, Grand Amphitheater

12th IFAC Symposium on Control of Power & Energy Systems, July 10-12, 2024, Rabat, Morocco

This information is tentative and subject to change. Compiled on January 2, 2025

Keywords Operation and Control of Renewable Energy Systems, Optimization in Energy Systems, Optimal Operation and Control in Smart Grids

Abstract

The key performance indicators are crucial for monitoring the performance of photovoltaic solar plants, thus significantly enhancing their overall efficiency. This critical role underscores the importance of making informed decisions regarding the evaluation criteria of these indicators, which would streamline the PV installations evaluation process. Despite the significant importance of this role, the weighting and prioritization of KPI selection criteria in the specific field of solar plants have not been addressed in the literature. The article aims to address this gap by developing a methodology that identifies the most relevant aspects for evaluating the performance of photovoltaic plants, while taking into account specific needs and evaluation contexts, integrating a hierarchical decomposition tree of criteria, which serves as a framework to guide criterion prioritization through collaborative weighting with the thematic team. This methodology incorporates the Analytic Hierarchy Process, a multicriteria analysis approach designed to assist decision-makers in addressing their specific needs, ensuring optimal alignment with the characteristics of the optimization problem, whether it involves single or multiple objectives.

 

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