Abstract: Distributed generation (DG) devices offered usefully for power losses minimization, grid reinforcement, bus voltages improvement and efficiency of a distribution system. Usually, the DG placement problem considers the predefined DG number and sizes that might result in many small DGs. However, a better solution could be reached with a minimum number of DGs, reducing installation and maintenance costs. Furthermore, the increment of load and vice versa may affect the voltage profile below or upper the tolerable limit and distribution feeders. Thus, this paper aims to analyze the impact of the variation of the load level with the DG connection in the power system by using the improved gravitational search algorithm (IGSA) as an optimization technique. The multi-objective function target reduces the total power loss, average total voltage harmonic distortion and voltage deviation in the distribution system. This study is considering six different load levels as in percentage of load. This proposed technique compares with the particle swarm optimization (PSO) and the gravitational search algorithm (GSA). This efficiency of the proposed technique tests on the 33-bus radial distribution system with six case studies.

Aida Fazliana Abdul Kadir, Mohamad Fani Sulaima, Noor Ropidah Bujal, Mohd Nazri Bin Abd Halim and Elia Erwani Hassan. “Analysis of Load Variation Consideration for Optimal Distributed Generation Placement”. International Journal of Advanced Computer Science and Applications (IJACSA) 12.4 (2021). http://dx.doi.org/10.14569/IJACSA.2021.0120446

@article{Kadir2021,
title = {Analysis of Load Variation Consideration for Optimal Distributed Generation Placement},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120446},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120446},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {4},
author = {Aida Fazliana Abdul Kadir and Mohamad Fani Sulaima and Noor Ropidah Bujal and Mohd Nazri Bin Abd Halim and Elia Erwani Hassan}
}