Optimal Location and Sizing of Distributed Generation Using Artificial Bee Colony and JAYA Algorithms

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.