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: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Misan College of Engineering
2024-12-01
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| Series: | Misan Journal of Engineering Sciences |
| Online Access: | https://uomisan.edu.iq/eng/mjes/index.php/eng/article/view/83 |
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| Summary: | 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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| ISSN: | 2957-4242 2957-4250 |