A comparison between GSA and IGSA for optimal allocation and sizing of DG and impact to voltage stability margin in electrical distribution system
Optimal placement and sizing of Distributed Generation (DG) are essential for future power planning of distribution networks. The performance of Gravitational Search Algorithm (GSA) and an Improved version of Gravitational Search Algorithm (IGSA) are compared in solving the optimization problem. The...
Saved in:
Main Authors: | Khatib, Tamer, Bujal, Noor Ropidah, Sulaiman, Marizan, Abdul Kadir, Aida Fazliana, El Tawil, Naji Ammar Mansour |
---|---|
Format: | Article |
Language: | English |
Published: |
Korean Institute of Electrical Engineers
2021
|
Online Access: | http://eprints.utem.edu.my/id/eprint/25614/2/BUJAL2021.PDF http://eprints.utem.edu.my/id/eprint/25614/ https://link.springer.com/article/10.1007/s42835-021-00829-y |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Firefly analytical hierarchy algorithm for optimal allocation and sizing of DG in distribution network
by: Noor Ropidah, Bujal, et al.
Published: (2022) -
Optimum allocation of capacitor and DG in MV distribution network using PSO and opendss
by: El Tawil, Naji Ammar Mansour, et al.
Published: (2019) -
Optimal allocation and sizing of capacitor bank and distributed generation using particle swarm optimization
by: El Tawil, Naji Ammar Mansour
Published: (2021) -
Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network
by: Bujal, Noor Ropidah
Published: (2022) -
Analysis of voltage stability problems in power system
by: Noor Ropidah, Bujal
Published: (2014)