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◆ AIMS energy2026-01-01· Microgrid

Advanced optimization for sustainable energy management: A case study of microgrid design in Niamey, Niger using the transient search algorithm

Issoufou Tahirou Halidou, M.H. Elkholy, Akie Uehara, Fathia Jombi Kheir, Mitsunaga Kinjo, Tomonobu Senjyu, M. Talaat, Abdoulkader Moussa Siddo, Taghreed Said

原始摘要(英文原文)· Original abstract
In this study, we evaluated three renewable-based microgrid configurations designed to strengthen energy security and long-term sustainability. Configuration 1 integrates a photovoltaic (PV) array and wind turbines (WT) with a battery energy storage system (BESS). Configuration 2 replaces BESS with a hydrogen energy storage system (HESS), offering extended storage capacity and improved energy availability. Configuration 3 combines BESS and HESS, leveraging the advantages of short-term and long-term storage to create a more resilient energy system. The objective function was formulated to minimize the total annual cost (TAC) while optimizing energy generation, storage efficiency, and overall system reliability. A robust and efficient transient search algorithm (TSA) was employed to determine the optimal capacity of the microgrid configurations. A comprehensive cost analysis revealed that configuration 1 was the most cost-effective. However, incorporating HESS in configuration 2 resulted in a 41.3% increase in cost due to the investment required for electrolyzers, storage tanks, and fuel cells. Configuration 3, which integrates battery and hydrogen storage, incurred an additional 3.2% cost compared to configuration 2 and 45.8% compared to configuration 1. Despite the higher cost, this hybrid system enhances energy resilience by efficiently balancing short-term and long-term storage solutions.
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Advanced optimization for sustainable energy management: A case study of microgrid design in Niamey, Niger using the transient search algorithm — 科研速览 Science Skim