Hybrid Siting and Sizing of Distributed Generators and Shunt Capacitors with System Reconfiguration using Wild Horse Optimizer

Mirna Fouad Ali; Eman Beshr; Almoataz Y. Abdelaziz; Mohamed Ezzat

doi:10.37934/araset.38.2.196213

Authors

Mirna Fouad Ali Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt
Eman Beshr Electrical and Control Engineering Department, Arab Academy for Science, Technology and Maritime Transport, Cairo 11311, Egypt
Almoataz Y. Abdelaziz Faculty of Engineering & Technology, Future University in Egypt, Cairo 11835, Egypt
Mohamed Ezzat Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt

DOI:

https://doi.org/10.37934/araset.38.2.196213

Keywords:

Network reconfiguration, Distributed generators, Shunt capacitors, Single-objective function, Multi-objective function, Meta-heuristic technique, Wild horse optimizer, Standard radial distribution system, Power losses, Voltage profile, Voltage deviation index, Voltage stability index

Abstract

Injection of Distributed generators (DGS) and Shunt capacitors (SCS) simultaneously with system reconfiguration significantly promotes smart grid performance. In addition, system reconfiguration increases the injected distributed generation capacity in the system. This work proposes a wild horse optimizer (WHO) for the optimal siting and sizing of DGS and SCS in parallel with network reconfiguration. The proposed method aims to attain single and multi-objectives: minimizing active power loss, maximizing voltage stability index (VSI), and minimizing voltage deviation index (VDI). Five operational cases are introduced to elucidate the superior performance of the proposed method. The five cases are executed on IEEE 33-bus standard radial distribution test system. The single-objective function results are compared with other optimization algorithms. The simulation results belay that the proposed WHO optimizer has the best results for unfixed DGS and SCS locations.