DocumentCode :
133158
Title :
PV system modeling and a global-planning design for its controller parameters
Author :
Yifeng Xie ; Jingyu Huang ; Xiaokang Liu ; Fang Zhuo ; Baoquan Liu ; Hailong Zhang
Author_Institution :
Sch. of Electr. Eng., Xian Jiaotong Univ., Xian, China
fYear :
2014
fDate :
16-20 March 2014
Firstpage :
3132
Lastpage :
3135
Abstract :
The conventional mathematic model of PV (Photovoltaic) cells contains logarithmic terms, which is not conducive to derivation calculation in small-signal modeling. The parameters of PV system are coupling due to its double-loop control method, and it´s hard to precisely choose controller parameters. To solve these two problems above, this paper is based on PV system connected to an infinite power grid, uses the linear-fitting model of PV cells which is conducive to derivation instead of the original engineering one in small-signal modeling, and analyses the small-signal stability of the entire system. Meanwhile, a global-planning design for controller parameters is proposed to globally provide the optimal controller parameters. Simulation results show that the linear-fitting model of PV cells is very similar to the original engineering one, and the proposed design for controller parameters can provide a solution to calculate the global optimization.
Keywords :
mathematical analysis; optimal control; power generation control; power generation planning; solar cells; PV cells; PV system modeling; PV system parameters; controller parameters; double-loop control method; global optimization; global-planning design; linear-fitting model; mathematic model; optimal controller parameters; photovoltaic cells; power grid; Analytical models; Eigenvalues and eigenfunctions; Equations; Inverters; Mathematical model; Power system stability; Stability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Power Electronics Conference and Exposition (APEC), 2014 Twenty-Ninth Annual IEEE
Conference_Location :
Fort Worth, TX
Type :
conf
DOI :
10.1109/APEC.2014.6803752
Filename :
6803752
Link To Document :
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