optimal location, sizing, and appropriate technology selection of distributed generators for minimizing power loss using genetic algorithm
Clicks: 102
ID: 177533
2015
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Emerging Content
2.1
/100
7 views
7 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Genetic algorithm (GA) is utilized to select most suitable Distributed Generator (DG) technology for optimal operation of power system as well as determine the optimal location and size of the DG to minimize power loss on the network. Three classes of DG technologies, synchronous generators, asynchronous generators, and induction generators, are considered and included as part of the variables for the optimization problem. IEEE 14-bus network is used to test the applicability of the algorithm. The result reveals that the developed algorithm is able to successfully select the most suitable DG technology and optimally size and place the DGs to minimize power loss in the network. Furthermore, optimum multiple placement of DG is considered to see the possible impact on power loss in the network. The result reveals that multiple placements can further reduce the power loss in the network.
| Reference Key |
ayodele2015journaloptimal
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;T. R. Ayodele;A. S. O. Ogunjuyigbe;O. O. Akinola |
| Journal | journal of renewable energy |
| Year | 2015 |
| DOI |
10.1155/2015/832917
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.