DocumentCode :
2600878
Title :
Maximum power point tricking control of solar photovoltaic power generation system based on model reference adaptive
Author :
Lei, Pan ; Wei, Gong ; Yinghong, Wang
Author_Institution :
Dept. of Electron & Inf. Eng., Tianjin Inst. of Urban Constr., Tianjin, China
fYear :
2009
fDate :
6-7 April 2009
Firstpage :
1
Lastpage :
5
Abstract :
In this article, a new control algorithm of MPPT (maximum power point tracking) is proposed. The proposed algorithm takes the interaction between solar arrays, photovoltaic inverter, MPPT control, dc side dynamic model of solar arrays and the light intensity of the solar arrays into consideration. The algorithm is based on Lyapunov model reference adaptive control (MRAC). The algorithm provides a new method which could estimate the optimal output voltage, the optimal output current and maximum output power of solar arrays and photovoltaic inverter. Finally, an experimental platform which is mainly composed of DSP (TMS320F2812) and Cuk converter has been designed and the results of simulation and experiment show the feasibility and validity of the algorithm.
Keywords :
Lyapunov methods; adaptive control; invertors; photovoltaic power systems; power control; power generation control; solar power stations; Cuk converter; Lyapunov model reference adaptive control; TMS320F2812; dc side dynamic model; light intensity; maximum power point tricking control; photovoltaic inverter; solar arrays; solar photovoltaic power generation system; Adaptive control; Inverters; Lighting control; Optical arrays; Photovoltaic systems; Power generation; Power system modeling; Programmable control; Solar power generation; Voltage; CCM; Cuk converter; DSP; LRCM; MPPT; MRAC; energy saving; light intensity; simulation; solar arrays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4934-7
Type :
conf
DOI :
10.1109/SUPERGEN.2009.5348097
Filename :
5348097
Link To Document :
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