USING PARTICLE SWARM OPTIMIZATION TO FIND OPTIMAL SIZING OF PV-BS AND DIESEL GENERATOR

المؤلفون

  • Abbas Q. Mohammed Electrical Engineering Department, Mustansiriyah University, Baghdad, Iraq مؤلف
  • Kassim A. Al-Anbarri Electrical Engineering Department, Mustansiriyah University, Baghdad, Iraq مؤلف
  • Rafid M. Hannun Mechanical Engineering Department, College of Engineering, University of Thi-Qar, Nassriyah, Thi-Qar, Iraq مؤلف

DOI:

https://doi.org/10.31272/jeasd.25.3.6

الكلمات المفتاحية:

Renewable Energy، Solar Energy، Particle Swarm Optimization، Artificial Intelligence Technique

الملخص

This paper explores the sizing optimization of stand -alone hybrid energy system (HES) in southern Iraq (Thi Qar province) for supply stand-alone households by the electricity. HES consist of three components (solar cell (PV), diesel generator (DG) and battery storage (BS)). Particle swarm optimization (PSO) used in this study for find optimal sizing of the HES to minimizing multi-objective, first objective is to minimizing the total system cost (TSC) that lead to minimizing cost of energy (COE). Second objective is to minimizing total emission CO2 (TECO2). The constraint of the optimization is the reliability (100 %) mean continuous provide the load demand by the electricity. The results of the optimization show the ability the algorithm to minimizing the multi-objective with continuous supply the load by the electricity through life cycle of the project (25) years.

التنزيلات

Key Dates

منشور

2021-05-01

إصدار

مجلد 25 عدد 3 (2021): Journal of Engineering and Sustainable Development

القسم

Articles

الرخصة

Creative Commons License

هذا العمل مرخص بموجب Creative Commons Attribution 4.0 International License.

The Journal of Engineering and Sustainable Development is an open-access journal that all contents are free of charge. Articles of this journal are licensed under the terms of the Creative Commons Attribution International Public License CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/legalcode) that licensees are unrestrictly allowed to search, download, share, distribute, print, or link to the full texts of the articles, crawl them for indexing and reproduce any medium of the articles provided that they give the author(s) proper credits (citation). The journal allows the author(s) to retain the copyright of their published article.
Creative Commons-Attribution (BY)

كيفية الاقتباس

USING PARTICLE SWARM OPTIMIZATION TO FIND OPTIMAL SIZING OF PV-BS AND DIESEL GENERATOR. (2021). مجلة الهندسة والتنمية المستدامة, 25(3), 51-59. https://doi.org/10.31272/jeasd.25.3.6

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