Open AccessOptimum Location of DG for Loss Reduction with Ant Colony Algorithm
Author(s) -
Saodah Omar,
Muhammad Nasrullah Abdul Manan,
Muhammad Naqib Mat Siam,
Ahmad Asri Abd Samat,
Kamarul Azhar Daud
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1045/1/012045
Subject(s) - ant colony optimization algorithms , distributed generation , computer science , distributed power , reduction (mathematics) , power (physics) , mathematical optimization , electric power system , electricity generation , voltage , reliability engineering , algorithm , engineering , electrical engineering , mathematics , renewable energy , physics , geometry , quantum mechanics
The ability of the Distributed Generation (DG) to solve problems such as power system deregulation and power demand problems appropriate to its purpose, which is to inject electricity in a distributed manner at a point close to the load, causes the distributed generation to become the latest trend in electricity generation technology. Proper position of distributed generation is necessary in order to achieved maximum benefit from DG, which could be due to an incorrect allocation of DG sources to the power network would not only result in increased power losses, but could also jeopardize the operation of the system. This paper introduces an ACO-algorithm for optimal location of DGs using a real network in one of a rural area of Malaysia. The method is used to determine the effectiveness of DG by comparing the losses of power and the improvement of the voltage profile. As for the confirmation to the ACO method, another method known as brute force method is use to compare the data gain as validation purposes.