Three-diode model for characterization of industrial solar generating units using Manta-rays foraging optimizer: Analysis and validations

By M. El-Hameed, M. M. Elkholy, A. El‐Fergany. 2020

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Abstract A new attempt of employing Manta-rays foraging optimizer (MRFO) for accurate parameters extraction of three-diode equivalent model (3DeM) of solar generating units (SGUs) is endeavored. 3DeM has nine decision variables, when they are carefully selected, it can precisely define the actual characteristics of SGUs. The optimization strategies are based on two datasets such as actual measured I/V points at specific conditions, and using only the three key points given by manufacturer’s SGU datasheets. In which, MRFO is used to generate the 3DeM nine uncertain parameters. Two test cases are investigated such as (i) Kyocera polycrystalline KC200GT solar module, which is widely used in the literature and their comparisons are obtainable, and then, (ii) an experimental set up is established for the Ultra 85-P under different changed conditions. Root mean squared errors and mean absolute errors between measured and estimated current datasets, which are widely used in the literature, are adapted to define the cost functions (CFs) for SGU’s parameters extraction. Both of these CFs are optimized sequentially using the MRFO. Comprehensive discussions regarding their performances are given along with various statistical and sensitivity metrics. Various changed conditions including sun radiations and cell temperatures are examined. It can be confirmed that performance of MRFO is indicated overall various comparisons with others and other necessary performance measures.

Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/dadafe4da131130189c00717a38fe73200385b48