Optimal Distributed Generations Placement in Radial Distribution Network using Archimedes Optimisation Algorithm (AOA)

Syahirah Abd Halim; Gurpreet Singh; Ramizi Mohamed; Siti Salasiah Mokri; Hazwani Mohd Rosli; Lilik Jamilatul Awalin

Authors

Syahirah Abd Halim Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
Gurpreet Singh Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
Ramizi Mohamed Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
Siti Salasiah Mokri Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
Hazwani Mohd Rosli School of Engineering, Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia
Lilik Jamilatul Awalin Faculty of Advance Technology and Multidicipline, Airlangga University, Surabaya, Indonesia

Keywords:

Distributed Generations, Photovoltaic Cells, Radial Distribution Network, Archimedes Optimisation Algorithm

Abstract

The integration of distributed generation (DG) into the distribution network increases as the demand for power rises. Photovoltaic cell (PV) technology has progressed, becoming more affordable and widely available. The typical energy problems encountered in the past are resolved with the integration of PV in radial distribution networks. The efficiency and performance of the system can be impacted by the improper placement of DGs in the radial distribution network. Therefore, optimal placement of distributed generations in the radial distribution network is crucial to reduce power loss. The Archimedes Optimisation Algorithm (AOA) was employed for this study to determine the optimal location of DGs in the radial distribution network, considering system operational constraints such as power balance, voltage, and current. Using distribution load flow analysis based on the backward-forward sweep method, the original rate of power loss without the optimal placement of distribution generations in the IEEE 12-bus, 33-bus, and 69-bus test system was determined. Following this, the optimal placement of distributed generations in the radial distribution network was implemented using the Archimedes Optimisation Algorithm (AOA) in the IEEE 12-bus, 33-bus, and 69-bus test system. The results were analysed and compared to other algorithms, such as the Particle Swarm Optimisation Algorithm (PSO), in terms of consistency, convergence characteristics, and the optimal location of PV obtained.