Direct Power Control of PV-Grid Connected Using Artificial Neural Network.

Authors

Ali Yousef, Electrical Eng. Dept., Faculty of Engineering, Assiut University, Assiut, Egypt
Hamed Ibrahim, Elect. Dept., Faculty of Industrial Education, Suez University, Egypt.
Farag Abo-elyousr, Electrical Eng. Dept., Faculty of Engineering, Assiut University, Assiut, Egypt
Moayed Mohamed, Elect. Dept., Faculty of Industrial Education, Suez University, Egypt - Elect Dept., Faculty of Industrial Education, Sohag University, EgyptFollow

Corresponding Author

Mohamed, Moayed

Subject Area

Electrical Engineering

Article Type

Original Study

Abstract

In this research, an artificial neural network (ANN) controller design for connecting photovoltaic (PV) power system to the grid is introduced. The proposed controller is trained over a wide range of operating conditions. Time domain simulations of a grid-tied three-phase inverter by an active power injection subjected to major disturbance is investigated. To improve the superiority of the proposed controller, the performances of the developed ANN is compared with a conventional PI controller. The simulated results prove the capability of the proposed ANN controller to enhance the PV system performance over a wide range of operating conditions.

Keywords

Photovoltaic System; grid connected inverter; Neural network; power flow control; Robust Control

Recommended Citation

Yousef, Ali; Ibrahim, Hamed; Abo-elyousr, Farag; and Mohamed, Moayed (2020) "Direct Power Control of PV-Grid Connected Using Artificial Neural Network.," Mansoura Engineering Journal: Vol. 42 : Iss. 3 , Article 9.
Available at: https://doi.org/10.21608/bfemu.2020.98136