Open AccessUSING PARTICLE SWARM OPTIMIZATION TO FIND OPTIMAL SIZING OF PV-BS AND DIESEL GENERATOR
Author(s) -
Abbas Q. Mohammed,
Kassim A. Al-Anbarri,
Rafid M. Hannun
Publication year - 2022
Publication title -
journal of engineering and sustainable development
Language(s) - English
Resource type - Journals
eISSN - 2520-0925
pISSN - 2520-0917
DOI - 10.31272/jeasd.25.3.6
Subject(s) - diesel generator , sizing , particle swarm optimization , photovoltaic system , computer science , mathematical optimization , automotive engineering , electricity , reliability (semiconductor) , reliability engineering , diesel fuel , engineering , electrical engineering , mathematics , power (physics) , art , physics , quantum mechanics , visual arts
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.