Adaptive Fractional Order PID Controller Based MPPT for PV Connected Grid System Under Changing Weather Conditions

被引:0
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作者
Ali Nasir
Imran Rasool
Daud Sibtain
Raheel Kamran
机构
[1] University of Central Punjab,Department of Electrical Engineering
关键词
Maximum power point tracking; Particle swarm optimization; Fuzzy logic control; Adaptive fractional PID control;
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中图分类号
学科分类号
摘要
This paper is presenting an Adaptive Fractional Order PID (AFOPID) controller for PV connected grid system. The proposed controller is designed to harvest maximum power from the PV source. AFOPID controller contain the property of conventional PID controller, where the controller contains an adaptive property to optimize gain parameter on the basis of generator and grid side parameter in view. In the suggested work, the AFOPID controller imparted with the characteristic to get tune with particle swarm optimization to track maximum power point tracking, dc link voltage, and current control and quadrature axis modeling. Furthermore, the current control functionalities are performed through an AFOPID, where the controlling parameters are updated by measured error at every instant. The aim of this research is to attain maximum power from the PV source under varying weather conditions with minimum total harmonic distortion, which validate the performance of the proposed controller. The proposed work is compared with, FOPID, FLC, PI, GA and ACO tune FOPID controllers.
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页码:2599 / 2610
页数:11
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