Open AccessOptimisation of hybrid renewable energy system using iterative filter selection approach
Author(s) -
Hussain Shahbaz,
Alammari Rashid,
Iqbal Atif,
Jafar Md.,
Padmanaban Sanjeevikumar
Publication year - 2017
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2017.0014
Subject(s) - particle swarm optimization , turbine , photovoltaic system , renewable energy , computer science , matlab , pareto principle , iterative method , modular design , mathematical optimization , reliability engineering , automotive engineering , engineering , electrical engineering , algorithm , mathematics , mechanical engineering , operating system
This study presents a hybrid renewable energy system that yields minimum total project cost and maximum reliability. The system is in modular configuration consisting of photovoltaic (PV) array, wind turbine, battery storage, AC load and a dump load. Also, the minimisation of unutilised surplus power is taken into consideration as one of the design objectives. In this study, a new technique named iterative filter selection approach is used in designing the hybrid PV–wind turbine–battery system to obtain the best acceptable solution while considering all the design objectives. The system is then justified by comparing with iterative‐Pareto‐fuzzy and particle swarm optimisation techniques. The technique is found to be superior in terms of total project cost with satisfaction to the load demand. The method is simulated using MATLAB and the results are presented in the study with proper discussion.