Abstract
Recently, the resources of renewable energy have been in intensive use due to their environmental and technical merits. The identification of unknown parameters in photovoltaic (PV) models is one of the main issues in simulation and modeling of renewable energy sources. Due to the random behavior of weather, the change in output current from a PV model is nonlinear. In this regard, a new optimization algorithm called Runge–Kutta optimizer (RUN) is applied for estimating the parameters of three PV models. The RUN algorithm is applied for the R.T.C France solar cell, as a case study. Moreover, the root mean square error (RMSE) between the calculated and measured current is used as the objective function for identifying solar cell parameters. The proposed RUN algorithm is superior compared with the Hunger Games Search (HGS) algorithm, the Chameleon Swarm Algorithm (CSA), the Tunicate Swarm Algorithm (TSA), Harris Hawk’s Optimization (HHO), the Sine–Cosine Algorithm (SCA) and the Grey Wolf Optimization (GWO) algorithm. Three solar cell models—single diode, double diode and triple diode solar cell models (SDSCM, DDSCM and TDSCM)—are applied to check the performance of the RUN algorithm to extract the parameters. the best RMSE from the RUN algorithm is 0.00098624, 0.00098717 and 0.000989133 for SDSCM, DDSCM and TDSCM, respectively.
Highlights
The order of algorithms based on the minimum value of the root mean square error (RMSE) is Runge–Kutta optimizer (RUN), Grey Wolf Optimization (GWO), Harris Hawks Optimization (HHO), Tunicate Swarm Algorithm (TSA), Chameleon Swarm Algorithm (CSA), Sine–Cosine Algorithm (SCA)
The error values presented before can be interpreted with a high degree of accuracy due to the optimal configuration of parameters obtained by using the RUN algorithm
The rank of the optimization methods based on its performance using the RMSE as objective function is RUN, GWO, HHO, TSA, SCA, Hunger Games Search (HGS) and CSA, where they are sorted from the minimum to the maximum value
Summary
Researchers are making developments in sources of renewable energy to combat environmental pollution caused by use of fossil fuels. Wind, nuclear and wave energies are the most renewable sources used in our lifetime; researchers all over the world are focused on them [1,2,3,4,5]. Due to the cleanliness and availability of solar energy, it has been recognized as a capable renewable energy source [6]. Generation of electricity directly from solar energy is accomplished by photovoltaic (PV) systems [7]
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