ARCHIVES

Original Article

Optimal Placement of Distributed Generators Using Improved Rider Optimization

Yeruvaka Santhosh,1Dr. J. Upendar2

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.

Published Online: March-April 2025

Pages: 56-66

Abstract

: 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.

Related Articles

2025

Performance Analysis of Single Stage and Boost Assisted PV Grid Connected Systems

2025

Comprehensive Performance Analysis of a Standalone Wind Energy System with Battery Storage and Optimized Inverter Control

2025

Optimal Placement of Distributed Generators Using Improved Rider Optimization

2025

Analysis of Power Factor Improvement in Renewable energy system

2025

Election Prediction using Machine Learning

2025

Mountain Climber’s Health Tracking Using STM32F446RE

2025

Distance Measurement and Display the Values in Lcd Using IOT with Rugged Board A5d2x

2025

Effect of Blood Cancer in Human

2025

Smart Delivery Bot: An Autonomous Indoor Delivery System Using Embedded Technology

2025

A Comparative Study of Machine Learning and Deep Learning Approaches For Hotel Booking Cancellation Prediction