scholarly journals Maximum Power Point Tracking Implementation by Dspace Controller Integrated Through Z-Source Inverter Using Particle Swarm Optimization Technique for Photovoltaic Applications

2018 ◽  
Vol 8 (1) ◽  
pp. 145 ◽  
Author(s):  
Kalaiarasi N. ◽  
Subranshu Dash ◽  
Sanjeevikumar Padmanaban ◽  
Paramasivam S. ◽  
Pandav Morati
Keyword(s):  
Particle Swarm Optimization ◽  
Maximum Power Point Tracking ◽  
Optimization Technique ◽  
Maximum Power Point ◽  
Swarm Optimization ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Photovoltaic Applications ◽  
Particle Swarm Optimization Technique ◽  
Power Point

Application of Particle Swarm Optimization Technique for the Design of Maximum Power Point Tracking

2013 ◽  
Vol 768 ◽  
pp. 47-56 ◽  
Author(s):  
Rini Venugopalan ◽  
Neeraja Krishnakumar ◽  
R. Sarjila ◽  
N. Rajasekar
Keyword(s):  
Particle Swarm Optimization ◽  
Steady State ◽  
Optimization Technique ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Swarm Optimization ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Particle Swarm Optimization Technique ◽  
Power Point

The generation of electricity from solar energy has gained worldwide acceptance and serves as a critical objective for the future due to its abundance and eco-friendly nature. However, the output power extracted from solar PV module varies based on the variation in environmental conditions such as irradiance, temperature, shadow etc. Therefore, Maximum Power Point Tracking (MPPT) algorithms are implemented for the proper utilization of the available photovoltaic energy. This paper proposes an algorithm using Particle Swarm Optimization technique which involves a simple and effective method to calculate the required duty cycle. The key feature of this method is its ability to track the maximum power accurately with almost zero steady state oscillations which in turn improves the performance of the tracking system. The effectiveness of this algorithm has been evaluated under uniform change in environmental conditions in MATLAB/SIMULINK. Moreover, superiority of the proposed method is verified by comparing its results with the conventional algorithms such as Hill Climbing and Incremental Conductance in terms of tracking speed and steady state oscillations.

scholarly journals Accelerated Particle Swarm Optimization for Photovoltaic Maximum Power Point Tracking under Partial Shading Conditions

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 623 ◽  
Author(s):  
Muhannad Alshareef ◽  
Zhengyu Lin ◽  
Mingyao Ma ◽  
Wenping Cao
Keyword(s):  
Particle Swarm Optimization ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Swarm Optimization ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Accelerated Particle Swarm Optimization ◽  
Power Point

This paper presents an accelerated particle swarm optimization (PSO)-based maximum power point tracking (MPPT) algorithm to track global maximum power point (MPP) of photovoltaic (PV) generation under partial shading conditions. Conventional PSO-based MPPT algorithms have common weaknesses of a long convergence time to reach the global MPP and oscillations during the searching. The proposed algorithm includes a standard PSO and a perturb-and-observe algorithm as the accelerator. It has been experimentally tested and compared with conventional MPPT algorithms. Experimental results show that the proposed MPPT method is effective in terms of high reliability, fast dynamic response, and high accuracy in tracking the global MPP.

Sign in / Sign up

Export Citation Format

Share Document