DocumentCode :
82641
Title :
Reactive Power Control of Three-Phase Grid-Connected PV System During Grid Faults Using Takagi–Sugeno–Kang Probabilistic Fuzzy Neural Network Control
Author :
Faa-Jeng Lin ; Kuang-Chin Lu ; Ting-Han Ke ; Bo-Hui Yang ; Yung-Ruei Chang
Author_Institution :
Dept. of Electr. Eng., Nat. Central Univ., Jhongli, Taiwan
Volume :
62
Issue :
9
fYear :
2015
fDate :
Sept. 2015
Firstpage :
5516
Lastpage :
5528
Abstract :
An intelligent controller based on the Takagi-Sugeno-Kang-type probabilistic fuzzy neural network with an asymmetric membership function (TSKPFNN-AMF) is developed in this paper for the reactive and active power control of a three-phase grid-connected photovoltaic (PV) system during grid faults. The inverter of the three-phase grid-connected PV system should provide a proper ratio of reactive power to meet the low-voltage ride through (LVRT) regulations and control the output current without exceeding the maximum current limit simultaneously during grid faults. Therefore, the proposed intelligent controller regulates the value of reactive power to a new reference value, which complies with the regulations of LVRT under grid faults. Moreover, a dual-mode operation control method of the converter and inverter of the three-phase grid-connected PV system is designed to eliminate the fluctuation of dc-link bus voltage under grid faults. Furthermore, the network structure, the online learning algorithm, and the convergence analysis of the TSKPFNN-AMF are described in detail. Finally, some experimental results are illustrated to show the effectiveness of the proposed control for the three-phase grid-connected PV system.
Keywords :
electric current control; fuzzy control; invertors; neurocontrollers; photovoltaic power systems; power grids; power system faults; reactive power control; LVRT regulation; TSKPFNN-AMF; Takagi-Sugeno-Kang probabilistic fuzzy neural network control; active power control; asymmetric membership function; convergence analysis; current control; dc-link bus voltage fluctuation elimination; dual-mode operation control method; grid fault; intelligent controller; inverter; low-voltage ride through ratio; online learning algorithm; three-phase grid-connected PV system reactive power control; three-phase grid-connected photovoltaic system; Fuzzy control; Fuzzy neural networks; Inverters; Probabilistic logic; Reactive power; Voltage control; Voltage fluctuations; Asymmetric membership function (AMF); Takagi- Sugeno-Kang type probabilistic fuzzy neural network (TSKPFNN); Takagi???Sugeno???Kang type probabilistic fuzzy neural network (TSKPFNN); grid faults; low voltage ride through (LVRT); low-voltage ride through (LVRT); photovoltaic (PV) system; photovoltaic system; reactive power control;
fLanguage :
English
Journal_Title :
Industrial Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0046
Type :
jour
DOI :
10.1109/TIE.2015.2407851
Filename :
7051250
Link To Document :
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