Modeling and Simulation of Hybrid Maximum Power Point Tracking for Solar Power System

Jasim, Ali and Shepetov, Yuri (2017) Modeling and Simulation of Hybrid Maximum Power Point Tracking for Solar Power System. Current Journal of Applied Science and Technology, 22 (3). pp. 1-10. ISSN 24571024

[thumbnail of Shepetov2232017CJAST35100.pdf] Text
Shepetov2232017CJAST35100.pdf - Published Version

Download (427kB)

Abstract

This paper presents, a Hybrid Maximum Power Point Tracking (HMPPT) controller for solar power system is modeled using MATLAB Simulink. The model consists of PV module, boost converter, and HMPPT controller and load. The proposed hybrid method is a maximum power coefficient (KP) and modified hill climbing MPPT method. The boost converter model is allowed the input voltage of the converter, i.e. output voltage of PV is changed by varying the duty cycle, so that the hybrid maximum power point could be tracked when the environmental changes. The increasing efficiency of the solar power system is important engineering task. From the experiment, the developed model comforms with the circuit model provided by MATLAB Simulink Power Simulation. The power system was simulated in single (autonomous) power system worked on own load with R=25, 50, 100 Ohm dependence Pout from duty cycle D. Existing methods of maximum power point tracking of such systems not always can to search surely for maximum power point if there are existing some local maximums of power. It can be if illumination of few non-oriented solar panels are different. Further, the simulation results show that the developed model performs well in tracking the hybrid maximum power point of the PV module using modified hill climbing (HC) Algorithm and maximum power coefficient (KP).

Item Type: Article
Subjects: STM Academic > Multidisciplinary
Depositing User: Unnamed user with email support@stmacademic.com
Date Deposited: 01 Jun 2023 09:35
Last Modified: 01 Feb 2024 04:30
URI: http://article.researchpromo.com/id/eprint/739

Actions (login required)

View Item
View Item