Integration of DG and Capacitor in Radial Distribution Networks Using an Efficient Hybrid Optimization Method

Abstract

Recently, integration of distributed generations (DGs) and shunt capacitors in radial distribution network are becoming popular to withstand the rapidly increasing in electricity demands. In this article, a hybrid method is proposed to obtain the best locations and sizes of capacitors and DGs in radial distribution network. This hybrid method is based on chaotic whale optimization algorithm (CWOA) and loss sensitivity factor (LSF). The proposed method is tested on IEEE 69-bus system to enhance the buses voltages, increase the distribution system capacity, and decrease the total power loss. The obtained results prove that the proposed method based on CWOA and LSF can be highly effective in determining the locations and sizes of capacitors and DGs in RDS compared with other optimization techniques.

Keywords:

• distribution system
• DG
• capacitor
• LSF
• chaotic whale optimization algorithm

Additional information

Funding

The authors gratefully acknowledge the contribution of the NSFC (China)-ASRT (Egypt) Joint Research Fund, Project No. 51861145406 for providing partial research funding to the work reported in this research.

Notes on contributors

Ismail Mahmoud

Ismail Mahmoud received his B.Sc. in Electrical Engineering from Aswan University, Egypt in 2014. He is currently pursuing his M.Sc. degree in Department of Electrical Engineering, Aswan Faculty of Engineering, Aswan University. His research activities include renewable energy and power system optimization.

Salah Kamel

Salah Kamel received the international Ph.D. degree from University of Jaen, Spain (Main) and Aalborg University, Denmark (Host). He is an Associate Professor in the Department of Electrical Engineering, Aswan University, Egypt. He is currently a Postdoctoral Research Fellow in the State Key Laboratory of Power Transmission Equipment and System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing, China. His research activities include power system modeling, analysis and optimization, renewable energy, and smart grid technologies.

Hussein Abdel-Mawgoud

Hussein Abdel-Mawgoud received his B.Sc. and M.Sc. degrees from Aswan University, Egypt in 2014 and 2019, respectively. He is currently pursuing his Ph.D. degree in Department of Electrical Engineering, Aswan Faculty of Engineering, Aswan University. His research activities include renewable energy and power system optimization.

Loai Nasrat

Loai Saad Eldeen Nasrat received his B.Sc., M.Sc., and Ph.D. degrees in Electrical Engineering from Ain Shams University, Egypt in 1988, 1994, and 1999, respectively. He received a Diploma in Computers and Programming from American University in Cairo, 1994. Since 2002, he has been associated with the Department of Electrical Engineering, Aswan University, Egypt as an Assistant Professor, and since 2008, as an Associate Professor, and since 2013, as a Professor. He is currently the Dean of Faculty of Engineering, Aswan University, Egypt. His research interests include power systems quality and renewable energy.

Francisco Jurado

Francisco Jurado obtained the M.Sc. and Ph.D. degrees from the UNED, Madrid, Spain, in 1995 and 1999, respectively. He is Full Professor at the Department of Electrical Engineering of the University of Jaén, Spain. His research activities have focused on two topics: power systems and renewable energy.