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Optimal Techno-Economic Design of Standalone Hybrid Renewable Energy System Using Genetic Algorithm

Energy conservation; Environmental technology; Multiobjective optimization; Renewable energy resources; Rural areas; Wind; Wind turbines; Battery energy storages (BES); Cost of energies; Hybrid renewable energy systems; Loss of power supply probability; Remote location; Rural electrification; Sortin...

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Main Authors: Hlal I.M., Ramachandaramurthy V.K., Hafiz Nagi F., Bin Tuan Abdullah T.A.R.
Other Authors: 57205344223
Format: Conference Paper
Published: Institute of Physics Publishing 2023
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spelling my.uniten.dspace-245852023-05-29T15:24:46Z Optimal Techno-Economic Design of Standalone Hybrid Renewable Energy System Using Genetic Algorithm Hlal I.M. Ramachandaramurthy V.K. Hafiz Nagi F. Bin Tuan Abdullah T.A.R. 57205344223 6602912020 56373028000 57200039159 Energy conservation; Environmental technology; Multiobjective optimization; Renewable energy resources; Rural areas; Wind; Wind turbines; Battery energy storages (BES); Cost of energies; Hybrid renewable energy systems; Loss of power supply probability; Remote location; Rural electrification; Sorting genetic algorithm; Techno-economics; Genetic algorithms This paper presents a methodology to size Standalone Hybrid Renewable Energy System (SHRES) which combines solar PV, wind turbine (WT) and battery energy storage (BES) for application in rural areas. These sources are integrated via an AC bus to support the load demand. SHRES is simulated under varying load demand, solar radiation, temperature and wind speed obtained from the Malaysian Meteorological Department. A Multi-objective Optimization using Non-dominate Sorting Genetic Algorithm (NSGA-II) was utilized to determine the best sizing of PV / wind turbine / battery, and minimize Cost of Energy (COE) and Loss of Power Supply Probability (LPSP). The results show that the NSGAII optimization of the model is able to determine the best techno-economic sizing for the suggested location. For the case study, the optimum COE was 0.1099 (USD/kWh) and LPSP was 0.0865. The proposed tool can be used to size the SHRES for rural electrification and enhance energy access within remote locations. � Published under licence by IOP Publishing Ltd. Final 2023-05-29T07:24:46Z 2023-05-29T07:24:46Z 2019 Conference Paper 10.1088/1755-1315/268/1/012012 2-s2.0-85068688425 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068688425&doi=10.1088%2f1755-1315%2f268%2f1%2f012012&partnerID=40&md5=5b43f8d7495004cfa3b0ed8ac502d652 https://irepository.uniten.edu.my/handle/123456789/24585 268 1 12012 All Open Access, Bronze Institute of Physics Publishing Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Energy conservation; Environmental technology; Multiobjective optimization; Renewable energy resources; Rural areas; Wind; Wind turbines; Battery energy storages (BES); Cost of energies; Hybrid renewable energy systems; Loss of power supply probability; Remote location; Rural electrification; Sorting genetic algorithm; Techno-economics; Genetic algorithms
author2 57205344223
author_facet 57205344223
Hlal I.M.
Ramachandaramurthy V.K.
Hafiz Nagi F.
Bin Tuan Abdullah T.A.R.
format Conference Paper
author Hlal I.M.
Ramachandaramurthy V.K.
Hafiz Nagi F.
Bin Tuan Abdullah T.A.R.
spellingShingle Hlal I.M.
Ramachandaramurthy V.K.
Hafiz Nagi F.
Bin Tuan Abdullah T.A.R.
Optimal Techno-Economic Design of Standalone Hybrid Renewable Energy System Using Genetic Algorithm
author_sort Hlal I.M.
title Optimal Techno-Economic Design of Standalone Hybrid Renewable Energy System Using Genetic Algorithm
title_short Optimal Techno-Economic Design of Standalone Hybrid Renewable Energy System Using Genetic Algorithm
title_full Optimal Techno-Economic Design of Standalone Hybrid Renewable Energy System Using Genetic Algorithm
title_fullStr Optimal Techno-Economic Design of Standalone Hybrid Renewable Energy System Using Genetic Algorithm
title_full_unstemmed Optimal Techno-Economic Design of Standalone Hybrid Renewable Energy System Using Genetic Algorithm
title_sort optimal techno-economic design of standalone hybrid renewable energy system using genetic algorithm
publisher Institute of Physics Publishing
publishDate 2023
_version_ 1806427863152328704
score 13.222552

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