Open Access Repository

Improving the performance of time invariant maximum power point tracking methods

Downloads

Downloads per month over past year

Galligan, H and Lyden, S ORCID: 0000-0002-5364-6011 2017 , 'Improving the performance of time invariant maximum power point tracking methods', in Proceedings from the Australian Universities Power Engineering Conference , Institute of Electrical and Electronics Engineers, United States, pp. 1-6 , doi: 10.1109/AUPEC.2017.8282452.

[img]
Preview
PDF (Submitted conference paper)
AUPEC2017_paper...pdf | Download (482kB)

| Preview

Abstract

This paper presents an improved reinitialisation condition for time invariant maximum power point tracking (MPPT) methods used in photovoltaic (PV) systems experiencing partial shading conditions (PSC). Time invariant (MPPT) methods, suchas Particle Swarm Optimisation (PSO), overcome the limitations of existing MPPT by tracking the global maximum power point (GMPP) of a PV system operating under PSC. However, due to the time invariant structure of these MPPT methods, they also require a reinitialisation condition to be defined for when a change in irradiance ortemperature occurs. Testing was performed using simulations of a model built in Matlab/ Simulink, where the performance of existing and developed conditions wasevaluated using test cases with changes in solar irradiance. Limitations of existing conditions were identified and a more robust reinitialisation condition developed. The developed reinitialisation condition used sentry particles to monitor the PV voltage range for changes in the measured power of any sentry. The developed condition had a 96 % rate of successful detection, as compared to as low as 68 %successful detection for existing methods, demonstrating improved performance and robustness.

Item Type: Conference Publication
Authors/Creators:Galligan, H and Lyden, S
Keywords: photovoltaic, maximum power point tracking
Journal or Publication Title: Proceedings from the Australian Universities Power Engineering Conference
Publisher: Institute of Electrical and Electronics Engineers
DOI / ID Number: 10.1109/AUPEC.2017.8282452
Copyright Information:

Copyright 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Related URLs:
Item Statistics: View statistics for this item

Actions (login required)

Item Control Page Item Control Page
TOP