Open Access Repository
Bayesian optimization for maximum power point tracking in photovoltaic systems
Altmetric
Altmetric
Altmetric
Lyden, S 
ORCID: 0000-0002-5364-6011, Olding, W and Darbari, Z 2018
, 'Bayesian optimization for maximum power point tracking in photovoltaic systems', in
Proceedings of the 2018 IEEE Power & Energy Society General Meeting
, IEEE Power & Energy Society (PES), USA, pp. 1-5
, doi: 10.1109/PESGM.2018.8585890.
ORCID: 0000-0002-5364-6011, Olding, W and Darbari, Z 2018
, 'Bayesian optimization for maximum power point tracking in photovoltaic systems', in
Proceedings of the 2018 IEEE Power & Energy Society General Meeting
, IEEE Power & Energy Society (PES), USA, pp. 1-5
, doi: 10.1109/PESGM.2018.8585890.
Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/ECC.2016.7810598
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 Type: | Conference Publication |
|---|---|
| Authors/Creators: | Lyden, S and Olding, W and Darbari, Z |
| Keywords: | bayesian optimisation, photovoltaic, maximum power point tracking |
| Journal or Publication Title: | Proceedings of the 2018 IEEE Power & Energy Society General Meeting |
| Publisher: | IEEE Power & Energy Society (PES) |
| DOI / ID Number: | 10.1109/PESGM.2018.8585890 |
| Copyright Information: | Copyright 2018 IEEE |
| Related URLs: | |
| Item Statistics: | View statistics for this item |
Actions (login required)
 |
Item Control Page |