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