An Intelligent MPPT controller using PID-like neuro-fuzzy controller for photovoltaic system
Publish place: Second Conference on Energy Infrastructure, Electrical Engineering and Nanotechnology
Publish Year: 1397
Type: Conference paper
Language: English
View: 748
This Paper With 9 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
IRCIVILC02_045
Index date: 5 October 2018
An Intelligent MPPT controller using PID-like neuro-fuzzy controller for photovoltaic system abstract
In this study, a new PID-like neuro-fuzzy controller (PIDNFC) is introduced to track the maximumpower point tracking (MPPT) for photovoltaic (PV) systems. The proposed controller combines a PIDcontroller with a neuro-fuzzy controller. An online algorithm based on gradient decent is used to tune theparameter of proposed controller. The simulation results show that the PID-like neuro-fuzzy controller basedMPPT has satisfactory performance and assures an exact convergence to the maximum power point (MPP)under complex shading patterns. Moreover, the proposed controller provides a rapid convergence to the MPPin instant transient variation of shading. No oscillations around the MPP, system independent and rapidconvergence can be mentioned as major benefits of the proposed method.
An Intelligent MPPT controller using PID-like neuro-fuzzy controller for photovoltaic system Keywords:
An Intelligent MPPT controller using PID-like neuro-fuzzy controller for photovoltaic system authors
Sharareh Noroozi
Department of Electrical Engineering Islamic Azad University of South Tehran Branch Tehran, Iran
Heidarali Shayanfar
Department of Electrical Engineering, Iran University of Science and Technology