TY  - JOUR
T1  - Optimal Location and Sizing of Distributed Generation Using Artificial Bee Colony and JAYA Algorithms
AU  - Ermiş, Salih
AU  - Taşdemir, Oğuz
PY  - 2025
DA  - April
Y2  - 2025
JF  - Gazi Journal of Engineering Sciences
JO  - GJES
PB  - Parantez Teknoloji
WT  - DergiPark
SN  - 2149-9373
SP  - 69
EP  - 82
VL  - 11
IS  - 1
LA  - en
AB  - The rapid increase in energy demand, environmental concerns, and the need for efficient energy resource utilization have highlighted the importance of distributed generation (DG) systems. The optimal placement and sizing of DG units are critical for reducing power losses, improving voltage profiles, and enhancing system reliability. This study utilizes Artificial Bee Colony (ABC) and JAYA algorithms to solve the problem of optimal DG allocation and sizing in the IEEE 33 bus distribution system. The ABC algorithm is inspired by the natural foraging behavior of honeybees and is recognized for its ability to efficiently explore complex solution spaces. The JAYA algorithm is a new optimization approach with its simple, parameter-free structure and fast convergence properties. The performance of both algorithms was evaluated based on convergence rate, power loss reduction, voltage improvement, and computational time. Results indicate that the JAYA algorithm achieves superior convergence and lower power losses compared to the ABC algorithm, while the ABC algorithm provides better voltage profile improvements. The findings of this study aim to contribute to the efficient planning and implementation of DG systems in modern power grids.
KW  - Distributed Generation (DG)
KW  - Optimal Placement
KW  - Artificial Bee Colony (ABC)
KW  - JAYA Algorithm
KW  - IEEE 33 bus System
KW  - Power Loss Reduction.
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UR  - https://dergipark.org.tr/en/pub/gmbd/issue//1609936
L1  - https://dergipark.org.tr/en/download/article-file/4478638
ER  -