Original scientific paper
https://doi.org/10.32985/ijeces.15.3.1
Optimization of Distributed Generation in Radial Distribution Network for Active Power Loss Minimization using Jellyfish Search Optimizer Algorithm
Jarabala Ranga
; Ramachandra College of Engineering Department of Electrical and Electronics Engineering Eluru, Andhra Pradesh, India
Thiagarajan Y
orcid.org/0000-0002-6027-4623
; Christ College of Engineering and Technology Department of Electrical and Electronics Engineering Puducherry, India
Kesavan D
; Sona College of Technology Department of Electrical and Electronics Engineering Salem, Tamilnadu, India
Jovin Deglus
orcid.org/0009-0007-4173-0359
; Acharya Institute of Technology Department of Artificial Intelligence and Machine Learning Bangalore, Karnataka, India
Sibbala Bhargava Reddy
; Srinivasa Ramanujan Institute of Technology Department of Electrical and Electronics Engineering Anantapur, Andhra Pradesh, India
Rajakumar Palanisamy
orcid.org/0000-0003-1405-7318
; Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Department of Electrical and Electronics Engineering Avadi, 400 Feet Outer Ring Road, Chennai, Tamilnadu, India
Priya R. A.
; Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Department of Electrical and Electronics Engineering Avadi, 400 Feet Outer Ring Road, Chennai, Tamilnadu, India
Abstract
The inclusion of distributed generation (DG) units in the distribution network (DN) effectively cuts down the power losses (PL) and strengthens the voltage profile (VP). This paper examines the effect of allocating different distributed generation (DG) in radial distribution networks (RDN) through an implementation of an optimization technique using a recently introduced bio- inspired algorithm known as a jellyfish search optimizer (JSO). Unlike the other optimization algorithms, the JSO algorithm evades the local optimal trap and reaches the optimal solution in less time. The DG position(s) and size(s) are optimized for active power loss (APL) minimization with respect to several constraints. The effectiveness and robustness of the proposed optimization technique using JSO algorithm is investigated on a balanced IEEE RDNs with 33, 69 and 118-buses. The simulation outcomes are obtained for different types (type I, II and III) of DG placement. Additionally, a comprehensive comparative study has been performed for the JSO and other algorithms. The comparison exemplifies that the proposed JSO optimization approach produces a better optimal solution with steady convergence than other techniques reported in the literature. Also, the simulation findings show the potentiality of JSO optimization method for solving complex optimization problems.
Keywords
Distributed Generation; Radial Distribution Network; Jellyfish Search Optimizer; Active Power Losses;
Hrčak ID:
315392
URI
Publication date:
19.3.2024.
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