Investigating the effect of various types of components in optimal designing of a solar/wind/storage hybrid system

作     者：Ghanbari, Kamyar Maleki, Akbar Ochbelagh, Dariush Rezaei 

作者机构：Amirkabir Univ Technol Dept Energy Engn & Phys Tehran Iran Shahrood Univ Technol Fac Mech Engn Shahrood Iran 

出 版 物：《JOURNAL OF ENERGY STORAGE》 (J. Energy Storage)

年 卷 期：2025年第110卷

核心收录：

学科分类：0820[工学-石油与天然气工程] 08[工学] 0807[工学-动力工程及工程热物理] 

主　　题：Hybrid solar/wind/storage system Various energy technologies PSO algorithm GA algorithm Optimal sizing Optimal technology selection 

摘      要：The growing global population and increasing scarcity of conventional fuels raise concerns about meeting power demand, particularly in remote areas with limited grid access. Hybrid renewable microgrids offer a reliable and cost-effective solution to this challenge. These systems typically integrate multiple components, each with varying models and technologies suited to specific conditions. Optimizing such systems and selecting appropriate technologies are critical for enhancing their performance and ensuring cost-effectiveness. This paper focuses on the optimal design, sizing, and technology selection for a hybrid renewable microgrid comprising batteries, wind turbines, and photovoltaic panels. To capture the impact of technology choices, three distinct models for each component were selected, resulting in 27 configurations optimized to identify the most suitable setup for the case study area. The Particle Swarm Optimization algorithm was employed to maximize system reliability, measured by LPSP, and economic performance, reflected in TAC. The optimization results were validated against the Genetic Algorithm, a widely recognized method for optimizing similar systems, using statistical benchmark tests. The optimal configuration (PV3/WT3/B1) comprises polycrystalline photovoltaic panels, vertical-axis wind turbines, and lithium-ion batteries, achieving a TAC of $117,521 at 2 % unavailability. In contrast, the least efficient configuration (PV1/WT1/B3) includes thin-film photovoltaic panels, horizontal-axis wind turbines, and lead-acid batteries, with a TAC of $281,167 representing a 139.2 % increase, highlighting the importance of technology selection. A comprehensive sensitivity analysis was also conducted, examining key meteorological, economic, and social factors. This analysis identified the most influential parameters, validated the optimization results, and provided actionable insights for future system designs.