DocumentCode :
638847
Title :
An improved maximum power point tracking for photovoltaic grid-connected inverter
Author :
Neng Cao ; Jiaoyu Liu
Author_Institution :
Sch. of Autom., Wuhan Univ. of Technol., Wuhan, China
fYear :
2013
fDate :
4-7 Aug. 2013
Firstpage :
616
Lastpage :
621
Abstract :
Maximum power point tracking (MPPT) techniques are employed in photovoltaic (PV) systems to make full utilization of PV array output power which depends on solar irradiation and ambient temperature. Among all the MPPT strategies, the incremental conductance (IC) algorithm is widely used due to the high tracking accuracy at steady state and good adaptability to the rapidly changing atmospheric conditions. In this paper, an improved IC MPPT algorithm is proposed, which can extract maximum power from solar panel. Compared with the conventional method, the proposed approach can effectively improve the MPP tracking speed and accuracy simultaneously. Furthermore, a cascaded control structure with an outer dc link voltage control loop and an inner current control loop is used. Simulations and experimental results demonstrate that the proposed method provides effective, fast, and perfect tracking.
Keywords :
electric current control; invertors; maximum power point trackers; photovoltaic power systems; power generation control; power grids; voltage control; MPP tracking speed; MPPT strategies; PV array output power utilization; atmospheric conditions; cascaded control structure; improved IC MPPT algorithm; incremental conductance algorithm; inner current control loop; maximum power point tracking; outer dc link voltage control loop; photovoltaic grid-connected inverter; photovoltaic systems; solar irradiation; solar panel; Integrated circuits; Inverters; Maximum power point trackers; Photovoltaic cells; Photovoltaic systems; incremental conductance (IC); maximum power point tracking (MPPT); photovoltaic (PV);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2013 IEEE International Conference on
Conference_Location :
Takamatsu
Print_ISBN :
978-1-4673-5557-5
Type :
conf
DOI :
10.1109/ICMA.2013.6617987
Filename :
6617987
Link To Document :
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