Techno-economic modelling of hybrid energy system to overcome the load shedding problem: a case study of Pakistan

This paper demonstrates the application of hybrid energy system (HES) that comprises of photovoltaic (PV) array, battery storage system (BSS) and stand-by diesel generator (DGen) to mitigate the problem of load shedding. The main work involves techno-economic modelling to optimize the size of HES su...

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Main Authors: Bakht, Muhammad Paend, Salam, Zainal, Bhatti, Abdul Rauf, Sheikh, Usman Ullah, Khan, Nuzhat, Anjum, Waqas
Format: Article
Language:English
Published: Public Library of Science 2022
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Online Access:http://eprints.utm.my/103653/1/ZainalSalam2022_TechnoEconomicModellingofHybrid.pdf
http://eprints.utm.my/103653/
http://dx.doi.org/10.1371/journal.pone.0266660
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spelling my.utm.1036532023-11-22T00:21:08Z http://eprints.utm.my/103653/ Techno-economic modelling of hybrid energy system to overcome the load shedding problem: a case study of Pakistan Bakht, Muhammad Paend Salam, Zainal Bhatti, Abdul Rauf Sheikh, Usman Ullah Khan, Nuzhat Anjum, Waqas TK Electrical engineering. Electronics Nuclear engineering This paper demonstrates the application of hybrid energy system (HES) that comprises of photovoltaic (PV) array, battery storage system (BSS) and stand-by diesel generator (DGen) to mitigate the problem of load shedding. The main work involves techno-economic modelling to optimize the size of HES such that the levelized cost of electricity (LCOE) is minimized. The particle swarm optimization (PSO) algorithm is used to determine the optimum size of the components (PV, BSS). Simulations are performed in MATLAB using real dataset of irradiance, temperature and load shedding schedule of the small residential community situated in the city of Quetta, Pakistan. The LCOE for the HES system under study is 8.32 cents/kWh—which is lower than the conventional load shedding solution, namely the uninterruptable power supply (UPS) (13.06 cents/kWh) and diesel and generator system (29.19 cents/kWh). In fact, the LCOE of the HRES is lower than the grid electricity price of Pakistan (9.3 cents/kWh). Besides that, the HES alleviates the grid burden by 47.9% and 13.1% compared to the solution using the UPS and generator, respectively. The outcomes of the study suggests that HES is able to improve reliability and availability of electric power for regions that is affected by the load shedding issue. Public Library of Science 2022-04 Article PeerReviewed application/pdf en http://eprints.utm.my/103653/1/ZainalSalam2022_TechnoEconomicModellingofHybrid.pdf Bakht, Muhammad Paend and Salam, Zainal and Bhatti, Abdul Rauf and Sheikh, Usman Ullah and Khan, Nuzhat and Anjum, Waqas (2022) Techno-economic modelling of hybrid energy system to overcome the load shedding problem: a case study of Pakistan. PLoS ONE, 17 (4). pp. 1-29. ISSN 1932-6203 http://dx.doi.org/10.1371/journal.pone.0266660 DOI:10.1371/journal.pone.0266660
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Bakht, Muhammad Paend
Salam, Zainal
Bhatti, Abdul Rauf
Sheikh, Usman Ullah
Khan, Nuzhat
Anjum, Waqas
Techno-economic modelling of hybrid energy system to overcome the load shedding problem: a case study of Pakistan
description This paper demonstrates the application of hybrid energy system (HES) that comprises of photovoltaic (PV) array, battery storage system (BSS) and stand-by diesel generator (DGen) to mitigate the problem of load shedding. The main work involves techno-economic modelling to optimize the size of HES such that the levelized cost of electricity (LCOE) is minimized. The particle swarm optimization (PSO) algorithm is used to determine the optimum size of the components (PV, BSS). Simulations are performed in MATLAB using real dataset of irradiance, temperature and load shedding schedule of the small residential community situated in the city of Quetta, Pakistan. The LCOE for the HES system under study is 8.32 cents/kWh—which is lower than the conventional load shedding solution, namely the uninterruptable power supply (UPS) (13.06 cents/kWh) and diesel and generator system (29.19 cents/kWh). In fact, the LCOE of the HRES is lower than the grid electricity price of Pakistan (9.3 cents/kWh). Besides that, the HES alleviates the grid burden by 47.9% and 13.1% compared to the solution using the UPS and generator, respectively. The outcomes of the study suggests that HES is able to improve reliability and availability of electric power for regions that is affected by the load shedding issue.
format Article
author Bakht, Muhammad Paend
Salam, Zainal
Bhatti, Abdul Rauf
Sheikh, Usman Ullah
Khan, Nuzhat
Anjum, Waqas
author_facet Bakht, Muhammad Paend
Salam, Zainal
Bhatti, Abdul Rauf
Sheikh, Usman Ullah
Khan, Nuzhat
Anjum, Waqas
author_sort Bakht, Muhammad Paend
title Techno-economic modelling of hybrid energy system to overcome the load shedding problem: a case study of Pakistan
title_short Techno-economic modelling of hybrid energy system to overcome the load shedding problem: a case study of Pakistan
title_full Techno-economic modelling of hybrid energy system to overcome the load shedding problem: a case study of Pakistan
title_fullStr Techno-economic modelling of hybrid energy system to overcome the load shedding problem: a case study of Pakistan
title_full_unstemmed Techno-economic modelling of hybrid energy system to overcome the load shedding problem: a case study of Pakistan
title_sort techno-economic modelling of hybrid energy system to overcome the load shedding problem: a case study of pakistan
publisher Public Library of Science
publishDate 2022
url http://eprints.utm.my/103653/1/ZainalSalam2022_TechnoEconomicModellingofHybrid.pdf
http://eprints.utm.my/103653/
http://dx.doi.org/10.1371/journal.pone.0266660
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score 13.209306