Adaptive Embedded Clonal Evolutionary Programming (AECEP) for optimal Distributed Generation (DG) location and sizing in a distribution system
Distributed Generation (DG) has gained increasing popularity as a viable element of electric power systems. DG as a small scale generation sources located at or near load center is usually deployed within the distribution system. Installation of DG has many positive impacts such as reducing transmis...
Saved in:
Main Author: | Nur Zahirah, Mohd Ali |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/4919/1/Adaptive%20embedded%20clonal%20evolutionary%20programming%20%28AECEP%29%20for%20optimal%20distributed%20generation%20%28DG%29%20location%20and%20sizing%20in%20a%20distribution%20system.pdf http://umpir.ump.edu.my/id/eprint/4919/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Embedded adaptive mutation evolutionary programming for distributed generation management
by: Zulkefli, M.F.M., et al.
Published: (2020) -
Optimal allocation and sizing of DG in distribution system using evolutionary programming technique
by: Siti Rafidah, Abdul Rahim, et al.
Published: (2011) -
Implimentation of evolutionary particle swarm optimization in distributed generation sizing
by: Jamian, Jasrul Jamani, et al.
Published: (2012) -
Distributed generator sizing via evolutionary particle swarm optimization
by: Mustafa, Mohd. Wazir, et al.
Published: (2012) -
Distributed generator sizing via evolutionary particle swarm optimization
by: Mustafa, Mohd. Wazir, et al.
Published: (2012)