Techno-Economic Feasibility Analysis of Hybrid Renewable Energy System By Using Particle Optimization Technique for the Rural Border Areas in Iraq : Case Study

A truly need and biggest challenge that the border rural areas are suffering is difficult chance to connect to electricity grid due to nature of area and distance among population centers. A case study in this paper, Al-Teeb Area is located in the southeastern of Iraqi-Iranian border. To overcome...

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Main Authors: Husam Salim, Jabbar Rashed
Format: Article
Language:English
Published: University of Misan College of Engineering 2024-12-01
Series:Misan Journal of Engineering Sciences
Online Access:https://uomisan.edu.iq/eng/mjes/index.php/eng/article/view/83
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author Husam Salim
Jabbar Rashed
author_facet Husam Salim
Jabbar Rashed
author_sort Husam Salim
collection DOAJ
description A truly need and biggest challenge that the border rural areas are suffering is difficult chance to connect to electricity grid due to nature of area and distance among population centers. A case study in this paper, Al-Teeb Area is located in the southeastern of Iraqi-Iranian border. To overcome on this dilemma, a best substitute is Hybrid Energy System (HES). The Techno-Economic Feasibility analysis of grid-tied by photovoltaic(PV) -battery(BT) - wind turbine(WT) - diesel generator (DG) in that region are focus in this research.. This study made use of the MATLAB-based three different types of Particle Swarm Optimization algorithms(PSO),namely,(Modified PSO, Canonical-PSO and Hierarchical PSO with Time-varying Acceleration Coefficients (HPSO-TVAC) When designing a HES, it is important to strike a balance between the three goals of Cost Of Energy (COE), Reliability (REL), and maximizing the value of Renewable Energy Penetration (REP). Based on the results from the first type of PSO algorithm were found to be the most suitable for implementing this system were as follows, the ideal values for Number of Photovoltaic (NPV) (1235), Number of Wind Turbines (NWT) (58), Number of Diesel Generators (NDG) (12), Number of Batteries (NBT) (3112), Number of Converters (NCon)(46), COE (0.117 US$/KWh), loss power supply probability (LPSP) (0.2065%), REL (79.35%), REP (18%) and TNPC (9.36 MUS$). In addition, the results show that the algorithm efficiently and effectively found ideal solutions to lower total costs. Finally, it was determined that HES was a suitable way to fulfill the electrical demands of rural, outlying areas in Iraq and other developing countries with comparable temperatures.
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spelling doaj-art-b005fa76d5774fd3be42b094a7afda932025-08-20T02:59:35ZengUniversity of Misan College of EngineeringMisan Journal of Engineering Sciences2957-42422957-42502024-12-0132143110.61263/mjes.v3i2.8383Techno-Economic Feasibility Analysis of Hybrid Renewable Energy System By Using Particle Optimization Technique for the Rural Border Areas in Iraq : Case StudyHusam Salim0Jabbar Rashed1Misan universityMisan universityA truly need and biggest challenge that the border rural areas are suffering is difficult chance to connect to electricity grid due to nature of area and distance among population centers. A case study in this paper, Al-Teeb Area is located in the southeastern of Iraqi-Iranian border. To overcome on this dilemma, a best substitute is Hybrid Energy System (HES). The Techno-Economic Feasibility analysis of grid-tied by photovoltaic(PV) -battery(BT) - wind turbine(WT) - diesel generator (DG) in that region are focus in this research.. This study made use of the MATLAB-based three different types of Particle Swarm Optimization algorithms(PSO),namely,(Modified PSO, Canonical-PSO and Hierarchical PSO with Time-varying Acceleration Coefficients (HPSO-TVAC) When designing a HES, it is important to strike a balance between the three goals of Cost Of Energy (COE), Reliability (REL), and maximizing the value of Renewable Energy Penetration (REP). Based on the results from the first type of PSO algorithm were found to be the most suitable for implementing this system were as follows, the ideal values for Number of Photovoltaic (NPV) (1235), Number of Wind Turbines (NWT) (58), Number of Diesel Generators (NDG) (12), Number of Batteries (NBT) (3112), Number of Converters (NCon)(46), COE (0.117 US$/KWh), loss power supply probability (LPSP) (0.2065%), REL (79.35%), REP (18%) and TNPC (9.36 MUS$). In addition, the results show that the algorithm efficiently and effectively found ideal solutions to lower total costs. Finally, it was determined that HES was a suitable way to fulfill the electrical demands of rural, outlying areas in Iraq and other developing countries with comparable temperatures.https://uomisan.edu.iq/eng/mjes/index.php/eng/article/view/83
spellingShingle Husam Salim
Jabbar Rashed
Techno-Economic Feasibility Analysis of Hybrid Renewable Energy System By Using Particle Optimization Technique for the Rural Border Areas in Iraq : Case Study
Misan Journal of Engineering Sciences
title Techno-Economic Feasibility Analysis of Hybrid Renewable Energy System By Using Particle Optimization Technique for the Rural Border Areas in Iraq : Case Study
title_full Techno-Economic Feasibility Analysis of Hybrid Renewable Energy System By Using Particle Optimization Technique for the Rural Border Areas in Iraq : Case Study
title_fullStr Techno-Economic Feasibility Analysis of Hybrid Renewable Energy System By Using Particle Optimization Technique for the Rural Border Areas in Iraq : Case Study
title_full_unstemmed Techno-Economic Feasibility Analysis of Hybrid Renewable Energy System By Using Particle Optimization Technique for the Rural Border Areas in Iraq : Case Study
title_short Techno-Economic Feasibility Analysis of Hybrid Renewable Energy System By Using Particle Optimization Technique for the Rural Border Areas in Iraq : Case Study
title_sort techno economic feasibility analysis of hybrid renewable energy system by using particle optimization technique for the rural border areas in iraq case study
url https://uomisan.edu.iq/eng/mjes/index.php/eng/article/view/83
work_keys_str_mv AT husamsalim technoeconomicfeasibilityanalysisofhybridrenewableenergysystembyusingparticleoptimizationtechniquefortheruralborderareasiniraqcasestudy
AT jabbarrashed technoeconomicfeasibilityanalysisofhybridrenewableenergysystembyusingparticleoptimizationtechniquefortheruralborderareasiniraqcasestudy