Particle Swarm Optimization Technique for Photovoltaic System

Abstract

Day by day the dependency on renewable energy uses has been increasing because of no greenhouse emission and abundant in nature available freely, this paper, presents a comparative analysis of an optimization technique called Particle Swarm Optimization (PSO) along with Perturb & Observe (P&O) for the extraction of maximum power from the PV panel. The performances of P&O and PSO techniques were compared for different insolations and temperatures. A detailed and rigorous mathematical model along with simulation results and its performance for maximum power extraction from the panel were analyzed by using P&O and PSO. It has been observed that the maximum power obtained from PSO model is more than the maximum power obtained from P&O for different insolations and temperatures. Thus PSO is much better and more suitable for extracting maximum power from PV system.

Performability evaluation, validation and optimization for the steam generation system of a coal-fired thermal power plant

“…Ansari et al. [4] proposed a mathematical model to find the maximum power from the photovoltaic panel system with the help of the PSO technique. This optimization technique was compared with Perturb and Observe (PO) at various insulations and temperatures.…”

“… [2] 2015 Markov modeling and reliability analysis of urea synthesis system Urea synthesis system of a fertilizer plant Arora and Kumar [3] 1997 Availability analysis of steam and power generation systems thermal power plant Ansari et al. [4] Particle swarm optimization technique PV System Bahl et al. [5] 2018 Availability analysis of distillery plant using Petri Nets Distillery plant Braglia et al.…”

PV Panel Model Parameter Estimation by Using Particle Swarm Optimization and Artificial Neural Network

“…The investigation in [44] proposes the tracking of the MPPT of the PV system under partial shading conditions through a novel heuristic optimization algorithm, the flower pollination algorithm. In [45], the optimal MPP voltage is estimated by the PSO and P&O perturbation methods. In [46], the P&O method is used to excite the PV system for each particle and the optimal voltage for maximum power is estimated by the PSO method.…”

PSO Control under Partial Shading Conditions

“…On the other hand, partial shading distorts the shape of the nonlinear characteristic P = f (V) of the photovoltaic system by showing several local maximums of maximum power points on this characteristic [3]. To overcome these inevitable natural phenomena, maximum power monitoring techniques have been developed to ensure the extraction of maximum power using optimization methods under varying weather conditions [4,5].…”