Parameter extraction of solar cell models based on adaptive differential evolution algorithm

Abstract

a b s t r a c tIn this paper, a new approach based on adaptive Differential Evolution Technique (DET) is used to extract the parameters of solar cell models accurately. The adaption is achieved through crossover and mutation factor. It is indicated that the optimization with an objective function can minimize the difference between the estimated and measured values. In order to verify the performance of the proposed system, three different solar cell models: single diode model, double diode model, and photovoltaic module are used to extract the parameters. The analysis is performed by using the voltage and current data sets. The result shows that the proposed DET outperforms these other methods: chaos particle swarm optimization (CPSO), genetic algorithm (GA), harmony search algorithm (HSA), and artificial bee swarm optimization (ABSO). Furthermore, the DET technique is practically validated by two different solar cell types such as monocrystalline and multi-crystalline and modules. The performance of solar cell models has been verified and the outcome shows that it is an optimal method which suits the parameter extraction of solar cells and modules.

Performance Evaluation of Maximum Power Point Tracking Approaches and Photovoltaic Systems

“…A bypass diode in reverse biased condition acts as a generator with small internal voltage and leakage current, and the panels are in normal mode operation. However, the bypass diode can sustain a sudden increase in power and temperature [90]. A bypass switch (Mosfet) or a bypass diode is also used in satellite stems to mitigate hot-spotting damage in the PV strings [91].…”

“…When one cell is shaded, its bypass diode behaves as a load and allows current to flow through it from the rest of the cells, which maximizes the performance of the system [90]. By contrast, a shaded cell can be excluded by using a bypass diode to avoid impediment in power collection from the remaining cells, which results in energy loss from the shaded cell [69,93].…”

“…Energies 2018, 11, x FOR PEER REVIEW 13 of 24 sudden increase in power and temperature [90]. A bypass switch (Mosfet) or a bypass diode is also used in satellite stems to mitigate hot-spotting damage in the PV strings [91].…”

“…The bypass diode in the panel produces multiple power peaks on the P-V curve. A power loss can be minimized if a blocking diode (Db) is used to stop current flow from the battery to the panels at night when the voltage across the cells reaches zero [90]. …”

Extraction of uncertain parameters of double-diode model of a photovoltaic panel using Ant Lion Optimization

“…Because of these advantages, different meta-heuristic methods have been applied to solve PV parameter estimation problems. Such as particle swarm optimization (PSO) [6], simulated annealing algorithm (SA) [7], genetic algorithm (GA) [8], pattern search (PS) [9], biogeography based optimization (BBO) [10], Artificial bee colony (ABC) [11], chaotic asexual reproduction (CAR) [12], adaptive differential evolution (ADE) [13], symbiotic organic search (SOS) [14], improved shuffled complex evolution (ISCE) [15], hybrid firefly algorithm and patter search (HFAPS) [16], multi learning backtracking search (MLBTS) [17], firefly algorithm (FA) [18], ant lion optimization (ALO) [19,28], particle swarm optimization/ adaptive mutation strategy (PSOAMS) [20], improved cuckoo search algorithm (ImCSA) [21], Lambert W function [22], improved teaching learning based optimization (ITLBO) [23], adaptive differential evolution [24], hybridizing cuckoo search / biogiography based optimization (BHCS) [25] and three point based approach (TPBA) [26], exploiting intrinsic properties [27].…”