Determination of Optimum Location of DG for Loss Reduction with Ant Colony Algorithm

Authors

  • S. Omar Centre for Electrical Engineering Studies, Universiti Teknologi MARA, Cawangan Pulau Pinang, Permatang Pauh Campus, 13500 Permatang Pauh, Pulau Pinang, Malaysia.
  • Muhammad Nasrullah Abdul Manan Centre for Electrical Engineering Studies, Universiti Teknologi MARA, Cawangan Pulau Pinang, Permatang Pauh Campus, 13500 Permatang Pauh, Pulau Pinang, Malaysia.
  • Muhammad Naqib Mat Siam Centre for Electrical Engineering Studies, Universiti Teknologi MARA, Cawangan Pulau Pinang, Permatang Pauh Campus, 13500 Permatang Pauh, Pulau Pinang, Malaysia.
  • Ahmad Asri Abd Samat Centre for Electrical Engineering Studies, Universiti Teknologi MARA, Cawangan Pulau Pinang, Permatang Pauh Campus, 13500 Permatang Pauh, Pulau Pinang, Malaysia.
  • Kamarul Azhar Daud Centre for Electrical Engineering Studies, Universiti Teknologi MARA, Cawangan Pulau Pinang, Permatang Pauh Campus, 13500 Permatang Pauh, Pulau Pinang, Malaysia.

DOI:

https://doi.org/10.9734/bpi/taier/v2/3729E

Keywords:

DG, ACO, power losses, voltage profile, optimisation

Abstract

Power system deregulation and changes of power demand on a network cause a problem on a critical load with minimum voltage profile. By locating a Distribution Generation (DG) on the networks could solved the problem by injecting electricity at the location close to the load point. Proper position on the selected substation of DG is necessary in order to achieved maximum benefit from DG. Incorrect allocation of DG on the network might result in increased of power loss and jeopardize operation of the systems. This paper introduced an ACO-algorithm for optimal location of DGs using a real rural network of Malaysia. The results from ACO validated by using Brute Force method. The methods will determine the optimum location of DG by comparing the power loss and the changes of the voltage profiles after and before locating the DG.

Published

2022-09-20

How to Cite

S. Omar, Muhammad Nasrullah Abdul Manan, Muhammad Naqib Mat Siam, Ahmad Asri Abd Samat, & Kamarul Azhar Daud. (2022). Determination of Optimum Location of DG for Loss Reduction with Ant Colony Algorithm. Techniques and Innovation in Engineering Research Vol. 2, 91–108. https://doi.org/10.9734/bpi/taier/v2/3729E

Issue

Techniques and Innovation in Engineering Research Vol. 2

Section

Chapters