Analysis of load variation consideration for optimal distributed generation placement
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 bet...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Science and Information Organization
2021
|
| Online Access: | http://eprints.utem.edu.my/id/eprint/25615/2/PAPER_46-ANALYSIS_OF_LOAD_VARIATION_CONSIDERATION.PDF http://eprints.utem.edu.my/id/eprint/25615/ https://thesai.org/Downloads/Volume12No4/Paper_46-Analysis_of_Load_Variation_Consideration.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|