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

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 optimizat...

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Bibliographic Details
Main Authors: Abbas Q. Mohammed, Kassim A. Al-Anbarri, Rafid M. Hannun
Format: Article
Language:Arabic
Published: Mustansiriyah University/College of Engineering 2021-05-01
Series:Journal of Engineering and Sustainable Development
Subjects:
Online Access:https://www.iasj.net/iasj/download/f391f019046d20a4
Description
Summary: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.
ISSN:2520-0917
2520-0925