A hybrid multi-objective Evolutionary Programming-Firefly Algorithm for different type of Distributed Generation in distribution system-Reference-Cited by-同舟云学术

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A hybrid multi-objective Evolutionary Programming-Firefly Algorithm for different type of Distributed Generation in distribution system

Published:2022-12 Issue: Volume:8 Page:169-174
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Husni Noor Najwa Husnaini Mohammad^ORCID,Rahim Siti Rafidah Abdul^ORCID,Adzman Mohd Rafi^ORCID,Hussain Muhamad Hatta,Musirin Ismail,Azmi Syahrul Ashikin^ORCID

Funder

Universiti Malaysia Perlis

Kementerian Pendidikan Malaysia

Ministry of Higher Education, Malaysia

Publisher

Elsevier BV

Subject

General Energy

Reference13 articles.

1. Artificial immune system based approach for size and location optimization of distributed generation in distribution system;Bhadoria;Int J Syst Assur Eng Manage,2019

2. Cost–benefit analysis for optimal distributed generation placement in distribution systems;Kansal;Int J Ambient Energy,2017

3. Placement of distributed generator in distribution systems using Crow search algorithm;A. K. P,2019

4. Multi-objective optimal sizing of distributed generation by application of Taguchi desirability function analysis;Galgali;SN Appl Sci,2019

5. Multi-objective whale optimization based minimization of loss, maximization of voltage stability considering cost of DG for optimal sizing and placement of DG;Sridhar;Int J Electr Comput Eng,2019

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