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- Title
Analysis of Single-Diode PV Model and Optimized MPPT Model for Different Environmental Conditions.
- Authors
Senthilkumar, S.; Mohan, V.; Mangaiyarkarasi, S. P.; Karthikeyan, M.
- Abstract
The performance of photovoltaic (PV) systems must be predicted through accurate simulation designs before proceeding to a real-time application to avoid errors. However, predicting the cohesive relationship between current and voltage and estimating the parameters of a single diode model become a perplexing task due to insufficient data in the datasheet of PV panels. This research work presents single-diode solar PV system simulation analysis under different conditions, and the performance is improved by introducing an optimization-based maximum power point tracking (MPPT) strategy. Before simulation, a mathematical model for a single diode and optimization approaches are presented in this research work. Particle swarm optimization (PSO), genetic algorithm (GA), BAT optimization, and grey wolf optimization (GWO) model-based MPPT circuits are designed, and the performances are comparatively analyzed. The simulation results identify the nonlinear relationship between current and voltage and between power and voltage as characteristic curves for different temperature and irradiance values. For maximum power (Pmax), the maximum peak point tracking power and efficiency are analyzed to verify the optimization-based MPPT system. The simulation results demonstrate that the GWO model obtains a maximum tracking efficiency (TE) of 98%, which is much better than that of other optimization techniques.
- Subjects
PARTICLE swarm optimization; MAXIMUM power point trackers; PHOTOVOLTAIC power systems; MATHEMATICAL optimization; GENETIC algorithms
- Publication
International Transactions on Electrical Energy Systems, 2022, p1
- ISSN
2050-7038
- Publication type
Article
- DOI
10.1155/2022/4980843