Wednesday 21 September 2022

Determination of Optimum Location of DG for Loss Reduction with Ant Colony Algorithm| Chapter 7 | Techniques and Innovation in Engineering Research Vol. 2

 Deregulation of the power system and variations in the power demand on a network result in an issue with a critical load with a low voltage profile. The issue could be resolved by injecting power at a place near the load point by placing a Distribution Generation (DG) on the networks. In order to get the most out of DG, the chosen substation must be positioned properly. A bad distribution of DG on the network could increase power loss and risk system functionality. This study used a genuine rural Malaysian network to introduce the ACO-algorithm for DG locating. The Brute Force approach was used to validate the ACO results. By analysing the power loss and changes in the voltage profiles after and before locating the DG, the approaches will establish its ideal position.


Author(s) Details:

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.

Please see the link here: https://stm.bookpi.org/TAIER-V2/article/view/8275

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