Bayesian Optimization for Maximum Power Point Tracking in Photovoltaic Systems

被引：0

作者：

Lyden, S. ^{[1
]}

Olding, W. ^{[1
]}

Darbari, Z. ^{[1
]}

机构：

[1] Univ Tasmania, Sch Engn & ICT, Hobart, Tas, Australia

来源：

2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM) | 2018年

关键词：

maximum power point tracking; photovoltaic; Bayesian optimization; ARRAY;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

引用

页数：5

共 22 条

[11]

Keyhani A., 2011, Design of Smart Power Grid Renewable Energy Systems

[12] A Particle Swarm Optimization-Based Maximum Power Point Tracking Algorithm for PV Systems Operating Under Partially Shaded Conditions [J].