DocumentCode :
724515
Title :
Research on self-optimization control methods for single phase PV system
Author :
Zhao Huang ; Jiangzhou Cheng
Author_Institution :
Coll. of Electr. Eng. & New Energy, Three Gorges Univ., Yichang, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
5048
Lastpage :
5053
Abstract :
Actual characteristics of single phase PV cell are simply introduced. The traditional perturbation & observation method, incremental conductance algorithm and an improved self-optimization control strategy of dynamically adjusting tracking paces are analyzed considering different work conditions and the applications are discussed in detail. Simulation results firstly show that the automatic optimization process can be realized with all of the proposed methods the feasibility of which are testified; besides, the superiority of the improved solution scheme is effectively verified through comparison of the measured results and with the developed regulation system on the basis of fuzzy logic technology, excellent electrical power quality can be sent out with smooth amplitude, rapid response and low fluctuation content.
Keywords :
fuzzy control; fuzzy logic; photovoltaic power systems; power system control; electrical power quality; fuzzy logic technology; incremental conductance algorithm; observation method; perturbation method; self-optimization control methods; single phase PV system; Mathematical model; Maximum power point trackers; Optimization; Temperature; Temperature control; Voltage control; Fuzzy Controller; Incremental Conductance; MPPT; PV Cell; Perturbation and Observation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7162828
Filename :
7162828
Link To Document :
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