Adaptive Embedded Clonal Evolutionary Programming (AECEP) for optimal Distributed Generation (DG) location and sizing in a distribution system

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...

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Bibliographic Details
Main Author: Nur Zahirah, Mohd Ali
Format: Thesis
Language:English
English
English
Published: 2013
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/4919/
http://umpir.ump.edu.my/id/eprint/4919/
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%20%28Table%20of%20content%29.pdf
http://umpir.ump.edu.my/id/eprint/4919/6/Adaptive%20Embedded%20Clonal%20Evolutionary%20Programming%20%28AECEP%29%20for%20optimal%20Distributed%20Generation%20%28DG%29%20location%20and%20sizing%20in%20a%20distribution%20system%20%28Abstract%29.pdf
http://umpir.ump.edu.my/id/eprint/4919/11/Adaptive%20Embedded%20Clonal%20Evolutionary%20Programming%20%28AECEP%29%20for%20optimal%20Distributed%20Generation%20%28DG%29%20location%20and%20sizing%20in%20a%20distribution%20system%20%28References%29.pdf

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