Publication:
Optimal Sizing of Standalone for Hybrid Renewable Energy System by Using Pso Optimization Technique

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dc.contributor.authorZaidoon Waleed Jawad Al-Shammarien_US
dc.contributor.authorMuhammad Mokhzaini Azizanen_US
dc.contributor.authorAhmad Shukri Fazil Rahmanen_US
dc.contributor.authorKhairunnisa Hasikinen_US
dc.date.accessioned2024-05-29T02:29:12Z
dc.date.available2024-05-29T02:29:12Z
dc.date.issued2023
dc.date.submitted2024-2-20
dc.descriptionVol 14, No 1en_US
dc.description.abstractProviding electricity to rural regions is difficult for developing countries, such as Iraq, particularly in remote parts without grid connections. The electrical demands of Zerbattiya, a community in southern Iraq near the Iranian border, are discussed in this paper. The proposed system includes wind turbines, solar panels, diesel engines, batteries, etc. This study suggests a techno-economic viable and optimal size for each component to generate electricity for this area. This research uses particle swarm optimization techniques (PSO). The best hybrid renewable energy system (HRES) design is achieved by balancing the lowest possible cost of energy (COE) with the lowest possible loss of power supply probability (LPSP) and the greatest possible reliability factor value. As a result of the findings, the respective ideal values of number of photovoltaics (NPV), number of wind turbines (NWT), number of diesel generator (NDG), number of batteries (NBT), COE, LPSP, and reliability are 138, 43, 2, 324, US$/KWh 0.129, 0.0508%, and 99.9492%, respectively. Finally, it was discovered that implementing a HRES is an effective way to address the electrical demands of remote rural regions in Iraq and other developing countries with similar climates.en_US
dc.identifier.doi10.11591/ijpeds.v14.i1.pp426-432
dc.identifier.epage432
dc.identifier.issn2088-8694
dc.identifier.issue1
dc.identifier.other2494-29
dc.identifier.spage426
dc.identifier.urihttps://ijpeds.iaescore.com/index.php/IJPEDS/article/view/22079
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/10803
dc.identifier.volume14
dc.language.isoen_USen_US
dc.publisherInstitute of Advanced Engineering and Science (IAES)en_US
dc.relation.ispartofInternational Journal of Power Electronics and Drive Systemsen_US
dc.subjectEconomic analysis; Hybrid system; Optimal sizing; Particle swarm optimization; Renewable energyen_US
dc.titleOptimal Sizing of Standalone for Hybrid Renewable Energy System by Using Pso Optimization Techniqueen_US
dc.typeArticleen_US
dspace.entity.typePublication

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