Performance Analysis of PSO DFFP Based DC-DC Converter with Non Isolated CI using PV Panel

Abstract

This article presents the modeling and development of a DC-DC converter with Partial Swarm Optimization with Distinctive Feed Forward Propagation (PSO-DFFP) controller for hybrid power systems, including photovoltaic panels. The transient and dynamic analysis of the proposed controller has been presented. The PSO-DFFP controller has been designed to improve the operating efficiency and reduces the input converter current ripple. The ANFIS and PSO DFFP controllers are developed, and the performance of the system is compared. The proposed system reduces the switching losses and voltage drops in switching modes. The proposed system is demonstrated and developed with a 200W, 100kHz model. From the experimental results, it can be exposed that the proposed system is acceptable for PV applications.

Adaptive neuro-fuzzy inference system algorithm-based robust terminal sliding mode control MPPT for a photovoltaic system

“…Several MPPT approaches have been published in the literature, including Perturb and Observe (P&O) (Abdelsalam et al, 2011; Ahmed and Salam, 2015; Femia et al, 2005), Incremental Conductance (INC) (Liu et al, 2008; Sivakumar et al, 2015; Tey and Mekhilef, 2014), Fractional Short Circuit Current (FSCC) (Noguchi et al, 2002; Noh et al, 2002), Fractional Open Circuit voltage (FOCV) (Kobayashi et al, 2004), Fractional Nonlinear Synergetic Control (FNSC) (Mehiri et al, 2018), and Model Predictive Control (MPC) (Mossa et al, 2022). The use of intelligent techniques such as the Fuzzy Logic Controller (FLC) (Chuang et al, 2022; Farhat et al, 2015; Rajavel and Rathina Prabha, 2021; Rezk et al, 2019), Artificial Neural Network (ANN) (Boumaaraf et al, 2015; Rai et al, 2011), Radial Basis Function Neural Network (RBFNN) (Sitharthan et al, 2019), Adaptive Neuro-Fluent Interference System (ANFIS) (Ammar et al, 2020; Kalaiarasi et al, 2021), Genetic Algorithm (GA) (Daraban et al, 2014; Zhang et al, 2015), and Particle Size Optimization (PSO) (Chrouta et al, 2021; Duan et al, 2017; Nagarajan et al, 2022; Saad et al, 2016) are also implemented. These approaches are evaluated using different criteria, such as simplicity, convergence time, implementation details, desired sensors, cost-effectiveness ratio, and the need for correction (Ahmad et al, 2020; Saad et al, 2018).…”

Simulation Model of Single-Phase AC-AC Converter by Using MATLAB

“…Use the Matlab program to perform a simulation of all the proposed circuits to conduct the current review through computer simulation to show the results and display them with the forms of simulation models [80][81][82]. It included single-phase circuits for an electronic transformer, alternating current, constant input, variable output, as needed, that is, according to what is required by the load [83][84][85][86][87]. Fig.…”