ArticleScientific reports2024
Application of DSO algorithm for estimating the parameters of triple diode model-based solar PV system.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Parameters optimization of photovoltaic systems using modified quantum inspired particle swarm method.Scientific reports · 2026Article
- Parameter extraction of photovoltaic cell/module models using starfish optimization algorithm with a secant-based objective function modification.Scientific reports · 2026Article
- Design and development of different adaptive MPPT controllers for renewable energy systems: a comprehensive analysis.Scientific reports · 2024Article
- A novel development of advanced control approach for battery-fed electric vehicle systems.Scientific reports · 2024Article
- Design and development of an intelligent zone based master electronic control unit for power optimization in electric vehicles.Scientific reports · 2024Article
- A hybrid deep learning approach to solve optimal power flow problem in hybrid renewable energy systems.Scientific reports · 2024Article
- A comprehensive performance analysis of advanced hybrid MPPT controllers for fuel cell systems.Scientific reports · 2024Article
- Development of multiple input supply based modified SEPIC DC-DC converter for efficient management of DC microgrid.Scientific reports · 2024Article
- A novel on high voltage gain boost converter with cuckoo search optimization based MPPTController for solar PV system.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Solar Photovoltaic (SPV) technology advancements are primarily aimed at decarbonizing and enhancing the resiliency of the energy grid. Incorporating SPV is one of the ways to achieve the goal of energy efficiency. Because of the nonlinearity, modeling of SPV is a very difficult process. Identification of variables in a lumped electric circuit model is required for accurate modeling of the SPV system. This paper presents a new state-of-the-art control technique based on human artefacts dubbed Drone Squadron Optimization for estimating 15 parameters of a three-diode equivalent model solar PV system. The suggested method simulates a nonlinear relationship between the P-V and I-V performance curves, lowering the difference between experimental and calculated data. To evaluate the adaptive performance in every climatic state, two different test cases with commercial PV cells, RTC France and photo watt-201, are used. The proposed method provides a more accurate parameter estimate. To validate the recommended approach's performance, the data are compared to the results of the most recent and powerful methodologies in the literature. For the RTC and PWP Photo Watt Cell, the DSO technique has the lowest Root Mean Square Error (RMSE) of 6.7776 × 10
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Registered trials
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