Estimation and Revision: A Framework for Maximum Power Point Tracking on Partially Shaded Photovoltaic Arrays

被引：4

作者：

Ma, Jieming ^{[1
,2
]}

Man, Ka Lok ^{[2
]}

Ting, T. O. ^{[2
]}

Zhang, Nan ^{[2
]}

Guan, Sheng-Uei ^{[2
]}

Wong, Prudence W. H. ^{[1
]}

机构：

[1] Univ Liverpool, Dept Comp Sci, Liverpool L69 3BX, Merseyside, England

[2] Xian Jiaotong Liverpool Univ, Suzhou 215123, Jiangsu, Peoples R China

来源：

2014 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C 2014) | 2014年

关键词：

Maximum power point tracking (MPPT); Photovoltaic (PV); Partial shading conditions; Perturb and Observe (P&O); Power generation;

D O I：

10.1109/IS3C.2014.53

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The power-voltage (P-V) characteristics of a photovoltaic (PV) array become more complex with multiple peaks under the partial shading conditions. This may cause failure for the conventional perturb and observe (P&O) method in tracking the maximum power points. This paper introduces a new two-stage maximum power point tracking (MPPT) framework, known as estimation and revision (ER). It intends to combine the offline random search using metaheuristic algorithms with the conventional online MPPT method. The feasibility of the ER method is verified in an MPPT system implemented with a specific DC-DC converter and a partially shaded PV array. The simulation results suggest that the proposed ER-MPPT framework significantly outperform the conventional P&O in terms of both efficiency and capability in tracking the global maximum power point.

引用

页码：162 / 165

页数：4

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