Optimal Allocation of DG and Capacitor in Distribution Networks Using a Novel Hybrid MFO-SCA Method

Abstract

This paper proposes a novel hybrid (MFO-SCA) method based on Moth Flame Optimization (MFO) algorithm and Sine Cosine Algorithm (SCA). MFO is utilized for the exploitation phase while SCA is used for the exploration phase. In addition, the hybrid MFO-SCA method is used with combined power loss sensitivity (CPLS) to determine the optimal allocation of single and multiple of distributed generations (DGs) and capacitors in distribution system. In this paper, the total active power loss is used as a single objective function for incorporating DGs and capacitors in RDS. Also, this paper studies the system performance when integrating DGs or capacitors alone and DGs with capacitors simultaneously in RDS. The proposed method is validated using the standard IEEE 69-bus and IEEE 33-bus radial distribution system (RDS). From comparative study, the novel hybrid MFO-SCA proved its effectiveness in obtaining the best global optimum results of the objective function compared with other recent optimization techniques, especially SCA and MFO algorithms.

Keywords:

• radial distribution systems
• optimal allocation
• DG
• capacitor
• MFO
• SCA
• sensitivity analysis

Additional information

Funding

The authors thank the support of the National Research and Development Agency of Chile (ANID), ANID/Fondap/15110019.

Notes on contributors

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.

Salah Kamel

Salah Kamel received the international PhD degree from University of Jaen, Spain (Main) and Aalborg University, Denmark (Host) in 2014. He is an Associate Professor in the Department of Electrical Engineering, Aswan University, Egypt. His research activities include power system modeling, analysis and optimization, renewable energy and smart grid technologies.

Adel A. Abou El-Ela

Adel A. Abou El-Ela is a Professor at Electrical Engineering Department, Faculty of Engineering, Menoufiya University, Egypt. His research interests include power systems operation, planning and control, smart grids, renewable energy.

Francisco Jurado

Francisco Jurado received the M.Sc. and Ph.D. degrees in electrical engineering from the National University of Distance Education, Madrid, Spain, in 1995 and 1999, respectively. He is currently a Full Professor with the Department of Electrical Engineering, University of Jaén, Jaén, Spain. His research activities include power systems and renewable energy.