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

Authors

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

DOI:

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

Keywords:

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

Abstract

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.

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Published

2021-05-01

How to Cite

USING PARTICLE SWARM OPTIMIZATION TO FIND OPTIMAL SIZING OF PV-BS AND DIESEL GENERATOR. (2021). Journal of Engineering and Sustainable Development, 25(3), 51-59. https://doi.org/10.31272/jeasd.25.3.6

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