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- Vol. 5 Issue 2
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Optimal Placement of Distributed Generators Using Improved Rider Optimization
Authors
Department of Electrical Engineering, University College of Engineering/Osmania University, Hyderabad, Telangana, India. 2Assistant Professor, Department of Electrical Engineering, University College of Engineering/Osmania University, Hyderabad, Telangana, India.
Article Information
- Published In
- Volume 5, Issue 2 (2025)
- Published Online
- March-April 2025
- Pages
- 56-66
- Article Type
- Original Article
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Abstract
View PDF: Power distribution networks encounter challenges such as low voltage stability, poor voltage profiles, and high-power losses. Integrating Distributed Generation (DG) units is an effective solution; however, determining their optimal placement and sizing remains complex due to operational constraints. This study introduces an Improved Rider Optimization (IRO) algorithm to optimize DG placement and sizing while minimizing power losses, installation costs, harmonic distortion, and emissions, and enhancing system reliability. The IRO algorithm, modeled on rider behaviors, is tested on IEEE 33, IEEE 69, IEEE 119, and Indian 52-bus systems using MATLAB/Simulink. Simulation results confirm that the proposed method significantly improves voltage stability, reduces losses, and optimizes costs, , outperforming existing techniques. The approach ensures efficient DG integration in radial distribution systems, with future research focusing on real-time adaptability and dynamic load variations for enhanced Performes.
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