Burst-Mode Maximum Power Point Tracking Algorithm for Low-Power Photovoltaic Energy Harvesting Applications

被引：0
|
作者：
Bagci, E. Selin [1 ]
Kim, Katherine A. [1 ]
机构：
[1] Natl Taiwan Univ, Dept Elect Engn, Taipei, Taiwan
来源：
2021 IEEE 12TH ENERGY CONVERSION CONGRESS AND EXPOSITION - ASIA (ECCE ASIA) | 2021年
关键词：
control; energy harvesting; maximum power point tracking; photovoltaics; wearables;
D O I：
10.1109/ECCE-Asia49820.2021.9479155
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
For low-power photovoltaic (PV) energy harvesting applications, high tracking efficiency of the maximum power point (MPP) and low losses in the power converter are crucial to maximize output power. A burst-mode maximum power point tracking (MPPT) algorithm is proposed that actively tracks the PV MPP while only switching a fraction of the lime. High switching frequency of the dc-dc converter controlling the PV allows for smaller passive components, while burst mode operation reduces overall switching losses. Simulation results of a PV panel and a dc-dc converter implementing the MPPT algorithm indicate 97% tracking efficiency. The simulation of a system with 3 PV panels and 3 converters with realistic irradiance profiles results in an average output power of 3.47 W, with an overall system efficiency of 89%. The viability of burst-mode control with a PV panel as the input source is corroborated through experimentation.
引用
收藏
页码：256 / 261
页数：6
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