Development of renewable energy resources in Afghanistan for economically optimized cross-border electricity trading

Afghanistan is a key country between energy surplus areas (Central Asian Republics andIran) and energy deficit regions (Pakistan and India). It is in a position that can facilitate and launchregional electricity trade for the benefit of the region also derive significant gains for its own economyfro...

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Main Authors: Mohammad Masih Sediqi, Harun Or Rashid Howlader, Abdul Matin Ibrahimi, Mir Sayed Shah Danish, Najib Rahman Sabory, Tomonobu Senjyu
Format: Article
Language:English
Published: AIMS Press 2017-07-01
Series:AIMS Energy
Subjects:
Online Access:http://www.aimspress.com/energy/article/1542/fulltext.html
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author Mohammad Masih Sediqi
Harun Or Rashid Howlader
Abdul Matin Ibrahimi
Mir Sayed Shah Danish
Najib Rahman Sabory
Tomonobu Senjyu
author_facet Mohammad Masih Sediqi
Harun Or Rashid Howlader
Abdul Matin Ibrahimi
Mir Sayed Shah Danish
Najib Rahman Sabory
Tomonobu Senjyu
author_sort Mohammad Masih Sediqi
collection DOAJ
description Afghanistan is a key country between energy surplus areas (Central Asian Republics andIran) and energy deficit regions (Pakistan and India). It is in a position that can facilitate and launchregional electricity trade for the benefit of the region also derive significant gains for its own economyfrom energy imports and exports. On the other hand, Afghanistan is endowed with large renewableenergy resources (RERs), which it could exploit not only to satisfy its domestic power demand butalso to earn significant export revenue. This paper firstly explains the methodology and framework forthe power trade and then presents an optimization framework for profit maximization in the short-runtrading and cost minimization in the long-run trading. The proposed methodology is applied to a realcase between Afghanistan and Pakistan. The objective functions, parameters, variables and constraintsare described for both optimization models. System sizing, simulation and optimization are carriedout using genetic algorithm (GA) technique. The results in the short-run model represent optimalityof about 2654 MW electricity export from Afghanistan to Pakistan during summer. Moreover, resultsderived from running long-run model depict that by utilizing its RERs such as solar, wind and hydro,Afghanistan can not only meet its power demand but also can export to Pakistan during its deficitperiods and gain remarkable energy profits.
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spelling doaj.art-7bcbbff600b3427f8a8712b43948655f2022-12-22T01:38:51ZengAIMS PressAIMS Energy2333-83342017-07-015469171710.3934/energy.2017.4.691energy-05-00691Development of renewable energy resources in Afghanistan for economically optimized cross-border electricity tradingMohammad Masih Sediqi0Harun Or Rashid Howlader1Abdul Matin Ibrahimi2Mir Sayed Shah Danish3Najib Rahman Sabory4Tomonobu Senjyu5Electrical and Electronics Engineering Department, University of the Ryukyus, Okinawa, JapanElectrical and Electronics Engineering Department, University of the Ryukyus, Okinawa, JapanElectrical and Electronics Engineering Department, University of the Ryukyus, Okinawa, JapanEnergy Engineering Department, Kabul University, Kabul, AfghanistanEnergy Engineering Department, Kabul University, Kabul, AfghanistanElectrical and Electronics Engineering Department, University of the Ryukyus, Okinawa, JapanAfghanistan is a key country between energy surplus areas (Central Asian Republics andIran) and energy deficit regions (Pakistan and India). It is in a position that can facilitate and launchregional electricity trade for the benefit of the region also derive significant gains for its own economyfrom energy imports and exports. On the other hand, Afghanistan is endowed with large renewableenergy resources (RERs), which it could exploit not only to satisfy its domestic power demand butalso to earn significant export revenue. This paper firstly explains the methodology and framework forthe power trade and then presents an optimization framework for profit maximization in the short-runtrading and cost minimization in the long-run trading. The proposed methodology is applied to a realcase between Afghanistan and Pakistan. The objective functions, parameters, variables and constraintsare described for both optimization models. System sizing, simulation and optimization are carriedout using genetic algorithm (GA) technique. The results in the short-run model represent optimalityof about 2654 MW electricity export from Afghanistan to Pakistan during summer. Moreover, resultsderived from running long-run model depict that by utilizing its RERs such as solar, wind and hydro,Afghanistan can not only meet its power demand but also can export to Pakistan during its deficitperiods and gain remarkable energy profits.http://www.aimspress.com/energy/article/1542/fulltext.htmlregional electricity tradeshort-run optimizationlong-run optimizationrenewable energy resourcessystem sizing
spellingShingle Mohammad Masih Sediqi
Harun Or Rashid Howlader
Abdul Matin Ibrahimi
Mir Sayed Shah Danish
Najib Rahman Sabory
Tomonobu Senjyu
Development of renewable energy resources in Afghanistan for economically optimized cross-border electricity trading
AIMS Energy
regional electricity trade
short-run optimization
long-run optimization
renewable energy resources
system sizing
title Development of renewable energy resources in Afghanistan for economically optimized cross-border electricity trading
title_full Development of renewable energy resources in Afghanistan for economically optimized cross-border electricity trading
title_fullStr Development of renewable energy resources in Afghanistan for economically optimized cross-border electricity trading
title_full_unstemmed Development of renewable energy resources in Afghanistan for economically optimized cross-border electricity trading
title_short Development of renewable energy resources in Afghanistan for economically optimized cross-border electricity trading
title_sort development of renewable energy resources in afghanistan for economically optimized cross border electricity trading
topic regional electricity trade
short-run optimization
long-run optimization
renewable energy resources
system sizing
url http://www.aimspress.com/energy/article/1542/fulltext.html
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