Open AccessWhale Optimization Algorithm Based Technique for Distributed Generation Installation in Distribution System
Author(s) -
Mohd Nurulhady Morshidi,
Ismail Musirin,
Siti Rafidah Abdul Rahim,
Mohd Rafi Adzman,
M. H. Hussain
Publication year - 2018
Publication title -
bulletin of electrical engineering and informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.251
H-Index - 12
ISSN - 2302-9285
DOI - 10.11591/eei.v7i3.1276
Subject(s) - sizing , firefly algorithm , voltage , transmission system , optimization algorithm , installation , distributed generation , stability (learning theory) , computer science , transmission (telecommunications) , mathematical optimization , engineering , control theory (sociology) , algorithm , mathematics , particle swarm optimization , electrical engineering , renewable energy , telecommunications , control (management) , artificial intelligence , art , machine learning , visual arts , operating system
This paper presents Whale Optimization Algorithm (WOA) Based Technique for Distributed Generation Installation in Transmission System. In this study, WOA optimization engine is developed for the installation of Distributed Generation (DG). Prior to the optimization process, a pre-developed voltage stability index termed Fast Voltage Stability Index (FVSI) was used as an indicator to identify the location for the DG to be installed in the system. Meanwhile, for sizing the DG WOA is employed to identify the optimal sizing. By installing DG in the transmission system, voltage stability and voltage profile can be improved, while power losses can be minimized. The proposed algorithm was tested on 30-bus radial distribution network. Results obtained from the EP were compared with firefly algorithm (FA); indicating better results. This highlights the strength of WOA over FA in terms of minimizing total losses.