Cover
Vol. 22 No. 1 (2026)

Published: June 15, 2026

Pages: 157-167

Original Article

A Novel Hybrid Optimization Approach for Allocation of Distributed Generation in Distribution Power Network

Jarabala Ranga 1 Vijayakumar G 2 Rajakumar P 3 Gopika Venu 4 Jovin Deglus 5 Kesavan D 6 Sundar R 7
1 Department of EEE, Ramachandra College of Engineering, Eluru, Andhra Pradesh, India
2 Department of EEE, Sanjivani College of Engineering, Maharashtra, India
3 Department of EEE, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, Tamilnadu, India
4 Department of Computer Science and Technology, Madanapalle Institute of Technology & Science, Andhra Pradesh, India
5 Department of Artificial Intelligence and Machine Learning, Acharya Institute of Technology, Karnataka, India
6 Department of EEE, Sona College of Technology, Tamilnadu, India
7 Department of EEE, Muthayammal Engineering College, Tamilnadu, India
History
  • Received: November 22, 2023
  • Revised: March 31, 2024
  • Accepted: May 23, 2024
  • Available Online: June 15, 2026
DOI

https://doi.org/10.37917/ijeee.22.1.15

Abstract

This study aims to assimilate distributed generation (DG) unit using a novel hybrid technique to improve the efficiency of electric power distribution networks by minimizing the real power losses (RPL) and enhancing the bus voltages (BV). A hybrid technique has been implemented by combining the features of nature-inspired algorithms namely hunter-prey optimizer (HPO) and ant lion optimizer (ALO) algorithms. The exploitation characteristic of ALO and exploration characteristic of HPO is utilized to optimize single DG in radial distribution power network (DPN). The efficacy of the suggested hybrid optimization technique is validated using MATLAB/Simulink software tool. The proposed hybrid technique was executed to optimize type I and type III DG in a balanced IEEE 69-bus radial DPN. The optimized type I and type III DG placement minimized the real power losses of a test system to 71.23 kW and 20.38 kW, respectively. Additionally, the least bus voltage of the test system improved to 0.9776p.u and 0.9843p.u following type I and type III DG allocation. The optimized allocation of type I DG and type III DG has resulted in 68.34% and 90.94% power loss reduction, respectively and enhanced the minimum bus voltage of the test system by 7.5% and 8.3%, respectively. The efficacy of the proposed hybrid methodology was investigated by relating its simulation outcome with other optimization methodologies present in the literature. The comparative results revealed that the proposed hybrid optimization technique provided better RPL minimization at improved BV than the compared optimization techniques.

Keywords

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