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

Yousef, Ali Mohamed; Ibrahim, Hamed; Abo-elyousr, Farag Kamel; Mohamed, Moayed

doi:10.21608/bfemu.2020.98136

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

Document Type : Research Studies

Authors

¹ Electrical Eng. Dept., Faculty of Engineering, Assiut University, Assiut, Egypt

² Elect. Dept., Faculty of Industrial Education, Suez University, Egypt.

³ Elect. Dept., Faculty of Industrial Education, Suez University, Egypt - Elect Dept., Faculty of Industrial Education, Sohag University, Egypt

10.21608/bfemu.2020.98136

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