Reliability index based optimal sizing and statistical performance analysis of stand-alone hybrid renewable energy system using metaheuristic algorithms
Integration of renewable energy systems can provide reliable, environmentally sustainable, and cost-effective alternatives for meeting the demand for electricity in remote locations. In this study, recently developed meta-heuristic techniques are explored to find the optimal design for two combinati...
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ftdoajarticles:oai:doaj.org/article:4b28a0ce1b0047beacba724da36758c3 2023-07-23T04:18:35+02:00 Reliability index based optimal sizing and statistical performance analysis of stand-alone hybrid renewable energy system using metaheuristic algorithms M. Thirunavukkarasu Himadri Lala Yashwant Sawle 2023-07-01T00:00:00Z https://doi.org/10.1016/j.aej.2023.04.070 https://doaj.org/article/4b28a0ce1b0047beacba724da36758c3 EN eng Elsevier http://www.sciencedirect.com/science/article/pii/S1110016823003514 https://doaj.org/toc/1110-0168 1110-0168 doi:10.1016/j.aej.2023.04.070 https://doaj.org/article/4b28a0ce1b0047beacba724da36758c3 Alexandria Engineering Journal, Vol 74, Iss , Pp 387-413 (2023) Hybrid renewable energy system Sizing optimization Loss of power supply probability Renewable fraction Meta-heuristic techniques Convergence rate Engineering (General). Civil engineering (General) TA1-2040 article 2023 ftdoajarticles https://doi.org/10.1016/j.aej.2023.04.070 2023-07-02T00:40:42Z Integration of renewable energy systems can provide reliable, environmentally sustainable, and cost-effective alternatives for meeting the demand for electricity in remote locations. In this study, recently developed meta-heuristic techniques are explored to find the optimal design for two combinations of off-grid hybrid renewable energy systems. To evaluate the performance, the Tasmanian devil Optimization (TDO) was compared to three meta-heuristic algorithms, called the COOT bird optimization algorithm (COOT), the Grey wolf algorithm (GWO), and the Beluga whale optimization (BWO), and determined the optimal design of the proposed off-grid energy system in terms of best and worst-case solutions. The system consisting of a solar-battery is more cost-effective, with the lowest total annual cost (TAC) of 36,859 $ and the lowest levelized cost of electricity (LCOE) of 0.0930 $/kWh for 0% LPSPmax level as compared to the wind turbine-battery-diesel generator with the highest TAC (102580 $) and LCOE (0.2589 $/kWh). Hence, a solar-battery hybrid system is more viable for producing clean energy with effective storage and better power system reliability enhancement. Also, the obtained simulation results reveal the supremacy of the TDO compared to the other three meta-heuristic algorithms, where it achieved the optimal solution with a quick convergence time and fewer oscillations. Article in Journal/Newspaper Beluga Beluga whale Beluga* Directory of Open Access Journals: DOAJ Articles Tac ENVELOPE(-59.517,-59.517,-62.500,-62.500) Alexandria Engineering Journal 74 387 413 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Hybrid renewable energy system Sizing optimization Loss of power supply probability Renewable fraction Meta-heuristic techniques Convergence rate Engineering (General). Civil engineering (General) TA1-2040 |
spellingShingle |
Hybrid renewable energy system Sizing optimization Loss of power supply probability Renewable fraction Meta-heuristic techniques Convergence rate Engineering (General). Civil engineering (General) TA1-2040 M. Thirunavukkarasu Himadri Lala Yashwant Sawle Reliability index based optimal sizing and statistical performance analysis of stand-alone hybrid renewable energy system using metaheuristic algorithms |
topic_facet |
Hybrid renewable energy system Sizing optimization Loss of power supply probability Renewable fraction Meta-heuristic techniques Convergence rate Engineering (General). Civil engineering (General) TA1-2040 |
description |
Integration of renewable energy systems can provide reliable, environmentally sustainable, and cost-effective alternatives for meeting the demand for electricity in remote locations. In this study, recently developed meta-heuristic techniques are explored to find the optimal design for two combinations of off-grid hybrid renewable energy systems. To evaluate the performance, the Tasmanian devil Optimization (TDO) was compared to three meta-heuristic algorithms, called the COOT bird optimization algorithm (COOT), the Grey wolf algorithm (GWO), and the Beluga whale optimization (BWO), and determined the optimal design of the proposed off-grid energy system in terms of best and worst-case solutions. The system consisting of a solar-battery is more cost-effective, with the lowest total annual cost (TAC) of 36,859 $ and the lowest levelized cost of electricity (LCOE) of 0.0930 $/kWh for 0% LPSPmax level as compared to the wind turbine-battery-diesel generator with the highest TAC (102580 $) and LCOE (0.2589 $/kWh). Hence, a solar-battery hybrid system is more viable for producing clean energy with effective storage and better power system reliability enhancement. Also, the obtained simulation results reveal the supremacy of the TDO compared to the other three meta-heuristic algorithms, where it achieved the optimal solution with a quick convergence time and fewer oscillations. |
format |
Article in Journal/Newspaper |
author |
M. Thirunavukkarasu Himadri Lala Yashwant Sawle |
author_facet |
M. Thirunavukkarasu Himadri Lala Yashwant Sawle |
author_sort |
M. Thirunavukkarasu |
title |
Reliability index based optimal sizing and statistical performance analysis of stand-alone hybrid renewable energy system using metaheuristic algorithms |
title_short |
Reliability index based optimal sizing and statistical performance analysis of stand-alone hybrid renewable energy system using metaheuristic algorithms |
title_full |
Reliability index based optimal sizing and statistical performance analysis of stand-alone hybrid renewable energy system using metaheuristic algorithms |
title_fullStr |
Reliability index based optimal sizing and statistical performance analysis of stand-alone hybrid renewable energy system using metaheuristic algorithms |
title_full_unstemmed |
Reliability index based optimal sizing and statistical performance analysis of stand-alone hybrid renewable energy system using metaheuristic algorithms |
title_sort |
reliability index based optimal sizing and statistical performance analysis of stand-alone hybrid renewable energy system using metaheuristic algorithms |
publisher |
Elsevier |
publishDate |
2023 |
url |
https://doi.org/10.1016/j.aej.2023.04.070 https://doaj.org/article/4b28a0ce1b0047beacba724da36758c3 |
long_lat |
ENVELOPE(-59.517,-59.517,-62.500,-62.500) |
geographic |
Tac |
geographic_facet |
Tac |
genre |
Beluga Beluga whale Beluga* |
genre_facet |
Beluga Beluga whale Beluga* |
op_source |
Alexandria Engineering Journal, Vol 74, Iss , Pp 387-413 (2023) |
op_relation |
http://www.sciencedirect.com/science/article/pii/S1110016823003514 https://doaj.org/toc/1110-0168 1110-0168 doi:10.1016/j.aej.2023.04.070 https://doaj.org/article/4b28a0ce1b0047beacba724da36758c3 |
op_doi |
https://doi.org/10.1016/j.aej.2023.04.070 |
container_title |
Alexandria Engineering Journal |
container_volume |
74 |
container_start_page |
387 |
op_container_end_page |
413 |
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1772180994694053888 |