Open AccessCapacity‐based optimization using whale optimization technique of a power distribution network
Author(s) -
Simachew Bawoke,
Khan Baseem,
Guerrero Josep M.,
Padmanaban Sanjeevikumar,
Mahela Om Prakash,
Alhelou Hassan Haes
Publication year - 2022
Publication title -
engineering reports
Language(s) - English
Resource type - Journals
ISSN - 2577-8196
DOI - 10.1002/eng2.12455
Subject(s) - capacitor , photovoltaic system , voltage , minification , power (physics) , probabilistic logic , computer science , particle swarm optimization , mathematical optimization , optimization problem , ac power , electronic engineering , engineering , electrical engineering , mathematics , algorithm , artificial intelligence , physics , quantum mechanics
In the power distribution network, real power loss and voltage profile management are critical issues. By providing active and reactive power support, both of these issues can be managed. Distributed generation (DG) and capacitor bank (QG) can be utilized to solve these issues. Therefore, this paper utilized optimally placed and sized DG and capacitor (QG) to minimize losses and improve the voltage profile. The overall problem is optimized using an upgraded method of the fitness assignment and solution chasing based on the aggregate approach called multi‐objective whale optimization algorithm (MWOA). Wind and solar photovoltaic sources with biomass are utilized as the DG sources with their probabilistic outputs. The developed method is tested using two practical feeders of Bahir Dar city distribution network, Ethiopia. The results of loss minimization and voltage profile enhancement with MWOA are compared with multi‐objective particle swam optimization (MPSO) with an equal number of iterations to show the superiority of the developed method.