Modeling and Parameter Extraction of PV Modules Using Genetic Algorithms and Differential Evaluation

Modeling and parameter optimization of hybrid single channel photovoltaic thermal module using genetic algorithms

“…Kasaeian et al (2013) and Venkateswarlu et al (2013) reported that the advance of PVT technology in recent years has made solar energy sources available in the energy market. The PV research community and industry has major focus on the new advancement and improvement on power efficiency of PV systems.…”

A novel hybrid approach for the optimization of double‐diode model parameters of solar cell

“…For instance, the performance of electrolytes in the solar cell can also be investigated by soft computing methods. 8 Numerous metaheuristic techniques have been adopted that includes genetic algorithm, 9 artificial immune system, 10 differential evolution (DE), 11,12 Metaphor-free dynamic spherical evolution, 13 artificial bee swarm optimization (ABSO), 14 particle swarm optimization (PSO), 15 enhanced leader particle swarm optimization (ELPSO), 16 time-varying acceleration coefficients particle swarm optimization (TVACPSO), 17 Random reselection PSO, 18 Gravitational search algorithm, 19 harmony search (HS), 20,21 simulated annealing (SA), 22 memetic algorithm (MA), 6 pattern search (PS), 23 cuckoo search (CS), 24 biogeographybased optimization (BBO) with mutation formulations, 25 artificial bee colony optimization (ABCO), symbiotic organisms search (SOS), 26,27 modified artificial bee colony optimization (MABCO), 28 teaching-learning-based optimization (TLBO), 29,30 bird mating optimizer (BMO), 31 Grey wolf optimizer (GWO), 32,33 war strategy optimization algorithm, 34 improved arithmetic optimization algorithm, 35 Laplacian Nelder-Mead spherical evolution, 36 ensemble multi-strategy shuffled frog leading algorithms, 37 Delayed dynamic step shuffling frog-leaping algorithm, 38 boosted LSHADE algorithm and Newton Raphson method, 39,40 Boosting slime mould algorithm, 41 Gradient-based optimization with ranking mechanisms, 42 etc., for the non-linear parameter extraction optimization problem. Although these metaheuristic techniques yield better approximate solutions, every algorithm has its respective limitations.…”

Application of genetic algorithm with multi-objective function to improve the efficiency of glazed photovoltaic thermal system for New Delhi (India) climatic condition

“…Hamidreza and Keith (2013) developed a model for controlling the temperature of the photovoltaic cell and keep it under a specific limit for different conditions they have also done genetic algorithm based optimization to find the optimal value of the supplied electrical current for the thermoelectric cooling module which leads to the maximum generated power by the system. Venkateswarlu et al (2013) have done modeling and parameter extraction of PV modules using GAs and differential evaluation. Buonomano et al (2014) presented an analysis of a possible energy retrofit of an existing University Hospital District, located in Naples (Italy), by using an innovative renewable poly generation system and provided the results for energy and economic point of view.…”