International Journal of Applied Power Engineering (IJAPE) Vol. 14, No. 1, March 2025, pp. 146~154 ISSN: 2252-8792, DOI: 10.11591/ijape.v14.i1.pp146-154  146 Journal homepage: http://ijape.iaescore.com Multi-objective hunter prey optimizer technique for distributed generation placement Kesavan Duraisamy 1 , Sudhakiran Ponnuru 2 , Jovin Deglus 3 , Sakthidasan Arulprakasam 4 , Rajakumar Palanisamy 5 , Raja Soosaimarian Peter 6 1 Department of Electrical and Electronics Engineering, Sona College of Technology, Salem, India 2 Department of Electronics and Communication Engineering, New Horizon College of Engineering, Bengaluru, India 3 Department of Artificial Intelligence and Machine Learning, Acharya Institute of Technology, Bengaluru, India 4 Department of Electrical and Electronics Engineering, University College of Engineering Arni, Thiruvannamalai, India 5 Department of Electrical and Electronics Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India 6 School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India Article Info ABSTRACT Article history: Received Mar 16, 2024 Revised Sep 24, 2024 Accepted Oct 23, 2024 Accommodation of distributed generation (DG) units in the distribution power network (DPN) reduces the power losses (PL), improves the voltage profile (VP), and enhances the stability. The size and site for distribution generations have to be optimized to avail favorable results. Otherwise, the DPN may experience greater power losses, higher voltage deviation, and voltage instability issues. This article implements an optimization technique using a hunter-prey optimizer (HPO) algorithm to optimize single and multiple (two) DG units in the radial DPN to minimize total real power losses (RPL) and total voltage deviation (TVD). The effectiveness of the HPO algorithm is assessed on the IEEE benchmark 69-bus radial DPN and a real-world Cairo- 59 bus RDS. The simulation outcome after the optimized inclusion of DGs shown significant RPL reduction and considerable voltage enhancement. Furthermore, the optimized results of HPO algorithm were compared to the different algorithms and the comparison proved that the HPO can provide a more promising and authentic outcome than other algorithms. Keywords: Distributed generation Distribution power network Optimization Power loss Voltage deviation This is an open access article under the CC BY-SA license. Corresponding Author: Rajakumar Palanisamy Department of Electrical and Electronics Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology No.42, Avadi-Vel Tech Road Vel Nagar, Avadi, Chennai, Tamil Nadu 600062, India Email: drrajakumarp@veltech.edu.in 1. INTRODUCTION Distribution power networks (DPNs) have endured higher power demand in recent times due to rapid advancements in technology and globalization. The increased power demand can create several problems, including power quality, reliability, power losses, and environmental degradation [1]. Distributed generation (DG) integration is one of the promising methods for nullifying the issues in DPN [2]. A typical DG employs small-scale power-generating units (especially renewable energy DGs) to produce electricity locally into the DPN. DG allocations improve power quality, reduce power losses (PL), enhance reliability, and reduce environmental pollution [3]. However, DG allocation is a difficult and non-linear problem. Hence, an efficient methodology is essential to optimize the DG in DPN for securing maximum benefits. Many meta-heuristics (MH) and bio-inspired (BI) algorithms were introduced to find the optimal solution for this complex and dynamic DG allocation problem.