Particle Swarm Optimization Approach for MPPT-Based Charge Controller in Hybrid Renewable Systems
Keywords:
Renewable Energy system, PV Array, Wind SystemAbstract
As global energy demand continues to rise, renewable energy sources have become essential in narrowing the gap between supply and demand. However, the growing use of power electronic devices and non-linear loads in the grid introduces several power quality challenges. These issues—both in terms of energy scarcity and power quality—can be effectively addressed through the integration of inverters within renewable energy grid systems. This research focuses on the development and implementation of a hybrid renewable energy system that ensures a cost-effective and sustainable power supply to connected loads. Although integrating solar power with the conventional grid can be both complex and costly, the proposed system offers a practical, economical, and reliable solution. A charge controller is incorporated, utilizing a Maximum Power Point Tracking (MPPT) algorithm based on Particle Swarm Optimization (PSO) to enhance system efficiency.
Downloads
References
Ali M. Eltamaly, M. S. Al-Saud, A. G. Abo-Khalil, "Performance Improvement of PV Systems’ MaximumPower Point Tracker Based on a Scanning PSOParticle Strategy", Sustainability, 12, 1185, 2020.
S. Rehman, MD. M. Alam, J. P. Meyer, L. M. Al-Hadhrami, "Feasibility study of a wind-pv-diesel hybrid power system for a village", Elsevier Renewable Energy, vol. 38, pp. 258, Febuary 2012.
A. M. Osman, Haruni Michael, Negnevitsky Md, Enamul Haque, A. Gargoom, "A Novel Operation and Control Strategy for a Standalone Hybrid Renewable Power System", IEEE Transactions on sustainable energy, vol. 4, no. 2, pp. 402-413, April 2013.
T. Salmi, M. Bouzguenda, A. Gastl, Ahmed Masmoudi, "MATLAB/Simulink Based Modelling of Solar Photovoltaic Cell", International Journal of Renewable Energy Research, vol. 2, no. 2, 2012.
Accardo, L, Fioretto, M, Giannini, G & Marino, P 2006, ‘Techniques of PWM space vector modulation for the reduction of magnetic acoustic noise in traction motors’, International symposium on Power Electronics, Electrical drives, Automation and Motion, Taormina, pp. 1084-1089.
F. Liu, S. Duan, F. Liu, B. Liu, Y. Kang, "A Variable Step Size INC MPPT Method for PV Systems", IEEE Transaction on industrial Electronics, vol. 55, no. 7, pp. 2622-2628, July 2008.
W. Xiao, N. Ozog, W.G. Dunford, "Topology Study of Photovoltaic Interface for Maximum Power Point Tracking", IEEE Transactions on industrial electronics, vol. 54, no. 3, pp. 1696-1704, June 2007.
F. Ding, P. Li, B. Huang, F. Gao, C. Ding, W. Chengshan, "Modeling and Simulation of Grid-connected Hybrid Photovoltaic/Battery Distributed Generation System", 2010 China International Conference on Electricity Distribution, pp. 1-10, Sept 2010.
H. Sefidgar, S. A. Gholamian, "Fuzzy logic control of wind turbine system connection to PM synchronous generator for maximum power point tracking", Int. J. Intelligent Syst. and Appl., vol. 07, 2014.
S. Singh, L. Mathew, S.L. Shimi, "Design and simulation of intelligent control MPPT technique for PV module using MATLAB/ SIMSCAPE", Int. J. of Adv. Res. in Elect. Electro. and Instr. Eng., vol. 2, pp. 2278-8875, 2013.
N. A. Kamarzaman, C. W. Tan, "A comprehensive review of maximum power point tracking algorithms for photovoltaic systems", Renewable and Sustainable Energy Reviews, vol. 37, pp. 585-598, 2014.
A. Anurag, S. Bal, S. Sourav, M. Nanda, "A comprehensible review of maximum power point tracking techniques for photovoltaic systems", Int. J. of sustainable energy, vol. 35, pp. 478-501, 2016.
M.-F. Tsai, C.-S. Tseng, Y.-H. Hung, "A novel MPPT control design for wind-turbine generation systems using neural network compensator", IECON 2012-38th Annual Conf. on IEEE Indust. Elect. Soc., pp. 3521-3526, 2012.
M. A. Abdullah, A. H. M. Yatim, C. Wei Tan, "A study of maximum power point tracking algorithms for wind energy system", IEEE First Conf. on Clean Energy and Tech. CET, pp. 321-326, 2011
.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Rahul Kumar Singh, Sandeep Wasnik, Balram Yadav

This work is licensed under a Creative Commons Attribution 4.0 International License.
IJOSCIENCE follows an Open Journal Access policy. Authors retain the copyright of the original work and grant the rights of publication to the publisher with the work simultaneously licensed under a Creative Commons CC BY License that allows others to distribute, remix, adapt, and build upon your work, even commercially, as long as they credit you for the original creation. Authors are permitted to post their work in institutional repositories, social media or other platforms.
Under the following terms:
-
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.