Enhanced Vibrating Particles System Algorithm for Parameters Estimation of Photovoltaic System

Patrick Juvet Gnetchejo, Salomé Ndjakomo Essiane, Pierre Ele, René Wamkeue, Daniel Mbadjoun Wapet, Steve Perabi Ngoffe
2019 Journal of Power and Energy Engineering  
To evaluate the performance of a photovoltaic panel, several parameters must be extracted from the photovoltaic. These parameters are very important for the evaluation, monitoring and optimization of photovoltaic. Among the methods developed to extract photovoltaic parameters from current-voltage (I-V) characteristic curve, metaheuristic algorithms are the most used nowadays. A new metaheuristic algorithm namely enhanced vibrating particles system algorithm is presented here to extract the best
more » ... to extract the best values of parameters of a photovoltaic cell. Five recent algorithms (grey wolf optimization (GWO), moth-flame optimization algorithm (MFOA), multi-verse optimizer (MVO), whale optimization algorithm (WAO), salp swarm-inspired algorithm (SSA)) are also implemented on the same computer. Enhanced vibrating particles system is inspired by the free vibration of the single degree of freedom systems with viscous damping. To extract the photovoltaic parameters using enhanced vibrating particles system algorithm, the problem can be set as an optimization problem with the objective to minimize the difference between measured and estimated current. Four case studies have been implemented here. The results and comparison with other methods exhibit high accuracy and validity of the proposed enhanced vibrating particles system algorithm to extract parameters of a photovoltaic cell and module. weather conditions change, analytical methods become ineffective [18]. Numerical extraction techniques based on some algorithm fit the points on the PV characteristic curve. Compared to the analytical method, an accurate result can be attained since the algorithm tries to consider all points on the characteristic curve [19]. In the literature, the Newton-Raphson method is the most used [19] [20] [21]; In [22], a numerical method is proposed for modeling and the simulation of PV. The method finds the five parameters from the current-voltage characteristic by using three points of the curve (maximum power, open circuit and short circuit). In [23], the Levenberg Marquardt algorithm is P. J. Gnetchejo et al. 4 Journal of Power and Energy Engineering inspiration of vibrating particles system comes from the free vibration of one degree of freedom systems with viscous damping. The algorithm has been applied to extract the best parameters of a PV cell and module under uniform and partial shading conditions. Five recent algorithms (SSA [37], GWO, MFOA [28], WAO [36], MVO [31]) are also implemented on the same computer with the parameters gave by authors. The result obtained from the EVPS is compared
doi:10.4236/jpee.2019.78001 fatcat:kakchnyldzhebj2y4ypsu7ipqi