DocumentCode :
1589775
Title :
A maximum power point tracking algorithm based on gradient descent method
Author :
Zhang, Jianpo ; Wang, Tao ; Ran, Huijuan
Author_Institution :
Key Lab. of Power Syst. Protection, North China Electr. Power Univ., Baoding, China
fYear :
2009
Firstpage :
1
Lastpage :
5
Abstract :
Solar energy is considered as one of the most effective, less expensive, harmless and less environment pollution effect of renewable energy sources, the problem of using solar power including varying weather condition brings different output power of the photovoltaic (PV) array, which may cause a serious waste of solar power, for solving this problem, a Maximum Power Point Tracking (MPPT) strategy is always required to make PV array keep giving maximum power under different environment condition. In this paper, a variable step MPPT based on gradient descent method is proposed for faster and more precise tracking process, a model based on matlab/simulink was established to analysis the performance of the proposed MPPT strategy, simulation results prove that this MPPT method is practical with a better performance than the traditional strategies.
Keywords :
mathematical analysis; renewable energy sources; solar cells; gradient descent method; maximum power point tracking algorithm; photovoltaic array; renewable energy sources; Analytical models; Character generation; Mathematical model; Pollution; Power generation; Radio access networks; Renewable energy resources; Solar energy; Solar power generation; Voltage; Gradient Descent Method; Maximum Power Point Tracking (MPPT); Photovoltaic (PV); Variable Step;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power & Energy Society General Meeting, 2009. PES '09. IEEE
Conference_Location :
Calgary, AB
ISSN :
1944-9925
Print_ISBN :
978-1-4244-4241-6
Type :
conf
DOI :
10.1109/PES.2009.5275737
Filename :
5275737
Link To Document :
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