eCite Digital Repository

Bayesian optimization for maximum power point tracking in photovoltaic systems

Citation

Lyden, S and Olding, W and Darbari, Z, Bayesian optimization for maximum power point tracking in photovoltaic systems, Proceedings of the 2018 IEEE Power & Energy Society General Meeting, 5-9 August 2018, Portland, Oregon, pp. 1-5. ISBN 978-1-5386-7703-2 (2018) [Refereed Conference Paper]

Copyright Statement

Copyright 2018 IEEE

Official URL: http://dx.doi.org/10.1109/ECC.2016.7810598

DOI: doi:10.1109/PESGM.2018.8585890

Abstract

Maximum Power Point Tracking (MPPT) is an important consideration in Photovoltaic (PV) systems, particularly in residential environments where non-uniform irradiance conditions across the system may arise. This paper details the development of a Bayesian Optimization (BO) based MPPT method and presents preliminary results showing the efficacy of this technique in locating global maxima.

Item Details

Item Type:Refereed Conference Paper
Keywords:bayesian optimisation, photovoltaic, maximum power point tracking
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Renewable Power and Energy Systems Engineering (excl. Solar Cells)
Objective Division:Energy
Objective Group:Renewable Energy
Objective Field:Solar-Photovoltaic Energy
UTAS Author:Lyden, S (Dr Sarah Lyden)
UTAS Author:Olding, W (Mr Willem Olding)
UTAS Author:Darbari, Z (Miss Zahra Darbari)
ID Code:129987
Year Published:2018
Deposited By:Engineering
Deposited On:2019-01-03
Last Modified:2019-10-23
Downloads:0

Repository Staff Only: item control page