Techno-economic modeling and optimal sizing of autonomous hybrid microgrid renewable energy system for rural electrification sustainability using HOMER and grasshopper optimization algorithm

作     者：Araoye, Timothy Oluwaseun Ashigwuike, Evans Chinemezu Mbunwe, Muncho Josephine Bakinson, Oladipupo Idris Ozue, ThankGod Izuchukwu 

作者机构：Univ Nigeria Dept Mechatron Engn Nsukka Nigeria Univ Abuja Dept Elect & Elect Engn Abuja Nigeria Univ Nigeria Dept Elect Engn Nsukka Nigeria Montfont Univ Dept Elect Engn Leicester England Univ Nigeria Dept Elect & Comp Engn Nsukka Nigeria 

出 版 物：《RENEWABLE ENERGY》 (再生能源)

年 卷 期：2024年第229卷

核心收录：

学科分类：0820[工学-石油与天然气工程] 080703[工学-动力机械及工程] 08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：Energy and Sustainable Research Group (ESRG)  University of Nigeria  Nsukka 

主　　题：Hybrid renewable energy Grasshopper optimization algorithm HOMER pro software Modeling And sensitivity simulation analysis 

摘      要：This research paper focuses on techno-economic modeling and optimal sizing of autonomous hybrid microgrid systems. The optimal configuration of the suggested stand-alone system was performed by developing a size optimization model based on the metaheuristic novel Grasshopper Optimization algorithm (GOA) method to minimize the Total Net Present Cost (TNPC), unmet load, and Cost of Energy (COE) in the Nsukka Community which comprises 88 villages. The GOA and HOMER Pro Software are employed to compare results across four possible configurations of hybrid renewable power systems (HRES). The comparative analysis between GOA and HOMER shows that configuration-4 (biogas/Diesel), emerges as the optimal solution, with a 0 % unmet load at the COE of $0.01783 per kWh. The findings indicated that the GOA-based HRES, with a higher saturation of Biogas and photovoltaics (PV), proves to be more affordable in comparison to the HOMER-based solutions. The reduction in the COE and NPC of renewable energy for peak demands highlights the growing importance of biogas generators as an affordable local power supply to meet energy demands. This underscores the potential of the GOA in optimizing hybrid renewable energy systems for remote communities, producing an economically viable and sustainable energy solution.