Abstract
This article presents a hybrid method based on analytical and metaheuristic optimization techniques for the optimal placement of distributed generations (DGs) and shunt capacitors (SCs) into radial distribution systems (RDSs) to minimize power loss. In the hybrid method, a meta-heuristic called the Salp Swarm Algorithm is utilized to determine the optimal locations of DGs and SCs, while an efficient analytical technique is applied to calculate the optimal sizes. To check the robustness of the proposed method, two standard IEEE systems are employed; IEEE 33-bus and 69-bus, and compared with existing optimization techniques. Also to confirm the ability of the proposed method on improving performance, it applied to an actual 94-bus Portuguese RDS. The obtained results show the feasibility of the proposed method in optimal allocating of the DG and SC into RDS.
Additional information
Notes on contributors
Ali Selim
Ali Selim received his B.Sc. and M.Sc. degrees in Electrical Engineering from Aswan University, Egypt, in 2010 and 2016, respectively, and the international Ph.D. from Department of Electrical Engineering at University of Jaen, Spain. Currently, he is an Assistant Professor in Electrical Engineering Department, Aswan University. His research interests include mathematical optimization, planning and control of power systems, renewable energies, energy storage, and smart grids.
Salah Kamel
Salah Kamel received the international Ph.D. degree from the University of Jaén, Spain (Main) and Aalborg University, Denmark (Host), in January 2014. He is currently an Associate Professor with the Department of Electrical Engineering, Aswan University. He is also a Leader of the Power Systems Research Group, Advanced Power Systems Research Laboratory (APSR Laboratory), Aswan, Egypt. His research interests include power system analysis and optimization, smart grid, and renewable energy systems.
Amal A. Mohamed
Amal A. Mohamed received the B.Sc. from the Faculty of Engineering, Aswan University, Egypt in 2015. She is currently pursuing her Ph.D. degree in Department of Electrical Engineering, Aswan Faculty of Engineering, Aswan University. Her research activities include power system modeling, analysis, and optimization.
Juan Yu
Juan Yu received the Ph.D. degree in electrical engineering in 2007 from Chongqing University, Chongqing, China, where she is currently a Full Professor. Her research interests include static equivalent, optimal reactive power flow, and risk assessment in power and energy systems.