Direct Power Control of PV-Grid Connected Using Artificial Neural Network.
Yousef, A., Ibrahim, H., Abo-elyousr, F., Mohamed, M. (2020). Direct Power Control of PV-Grid Connected Using Artificial Neural Network.. EKB Journal Management System, 42(3), 1-8. doi: 10.21608/bfemu.2020.98136
Ali Mohamed Yousef; Hamed Ibrahim; Farag Kamel Abo-elyousr; Moayed Mohamed. "Direct Power Control of PV-Grid Connected Using Artificial Neural Network.". EKB Journal Management System, 42, 3, 2020, 1-8. doi: 10.21608/bfemu.2020.98136
Yousef, A., Ibrahim, H., Abo-elyousr, F., Mohamed, M. (2020). 'Direct Power Control of PV-Grid Connected Using Artificial Neural Network.', EKB Journal Management System, 42(3), pp. 1-8. doi: 10.21608/bfemu.2020.98136
Yousef, A., Ibrahim, H., Abo-elyousr, F., Mohamed, M. Direct Power Control of PV-Grid Connected Using Artificial Neural Network.. EKB Journal Management System, 2020; 42(3): 1-8. doi: 10.21608/bfemu.2020.98136

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

MEJ- Mansoura Engineering Journal
Article 9, Volume 42, Issue 3, September 2017, Page 1-8  XML PDF (1.36 MB)
Document Type: Research Studies
DOI: 10.21608/bfemu.2020.98136
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Authors
Ali Mohamed Yousef1; Hamed Ibrahim2; Farag Kamel Abo-elyousr1; Moayed Mohamed email 3
1Electrical Eng. Dept., Faculty of Engineering, Assiut University, Assiut, Egypt
2Elect. Dept., Faculty of Industrial Education, Suez University, Egypt.
3Elect. Dept., Faculty of Industrial Education, Suez University, Egypt - Elect Dept., Faculty of Industrial Education, Sohag University, Egypt
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
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