基于仿生算法的孤岛混合能源系统可行性分析及优化规模

IF 5.9 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Ain Shams Engineering Journal Pub Date : 2025-10-08 DOI:10.1016/j.asej.2025.103799

Nihat Pamuk

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引用次数: 0

摘要

工业化和技术进步导致能源需求迅速增加，以支持人类社会的社会和经济发展。尽管石油、煤炭和天然气等化石燃料在历史上已经满足了这一需求，但它们对环境的影响、资源的枯竭以及开采成本的上升使得向可再生能源的过渡成为必要。本研究旨在设计一个离网混合能源系统，以满足土耳其300户家庭的能源需求，并评估其在不同可再生能源渗透水平下的技术和经济性能。使用HOMER Pro进行系统设计、仿真和技术经济分析，分别采用25%、50%、75%和100%穿透水平的四种配置。分别使用锂离子电池和铅酸电池进行性能比较，并使用Python和PYPSA对负载需求和社区间距离不同的三种情况进行了建模。采用蚁群优化（ACO）、鲸鱼优化（WO）和飞狐优化（FFO）确定最优配置。结果表明，最低净目前成本（NPC）系统对应于锂离子电池100%普及率，包括28个风力涡轮机，364千瓦光伏阵列，233千瓦发电机，387千瓦逆变器和1000个电池，NPC为179万美元。与铅酸电池相比，锂离子电池表现出更优越的经济性能，75%和100%渗透率的系统最具成本效益。FFO方法最有效地响应负载变化，在高需求区域调整系统规模以最小化传输损耗。FFO是对参数变化响应最快的优化。总体而言，研究结果表明，FFO在能源系统优化方面提供了高响应性，基于模拟的区域特定混合系统设计为可持续能源政策和规划提供了可操作的见解。

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Feasibility analysis and optimal sizing of islanded hybrid energy system by using bio-inspired algorithms

Industrialization and technological advancement have led to a rapid increase in energy demand to support the social and economic development of human societies. Although fossil fuels such as oil, coal, and natural gas have historically met this demand, their environmental impacts, resource depletion, and rising extraction costs necessitate a transition to renewable energy sources. This study aims to design an off-grid hybrid energy system to meet the energy needs of 300 households in Turkey and to evaluate its technical and economic performance across varying renewable penetration levels. System design, simulation, and techno-economic analysis were conducted using HOMER Pro, with four configurations corresponding to 25 %, 50 %, 75 %, and 100 % penetration levels. Li-Ion and Lead-Acid batteries were employed separately to compare performance, and three scenarios differing in load demand and inter-community distances were modeled using Python and PYPSA. Optimal configurations were determined using Ant Colony Optimization (ACO), Whale Optimization (WO), and Flying Foxes Optimization (FFO). Results indicate that the lowest net present cost (NPC) system corresponds to 100 % penetration with Li-Ion batteries, comprising 28 wind turbines, 364 kW photovoltaic arrays, a 233 kW generator, a 387 kW inverter, and 1000 batteries, with a NPC of 1.79 million $. Li-Ion batteries demonstrated superior economic performance compared to Lead-Acid batteries, and systems with 75 % and 100 % penetration were the most cost-effective. The FFO method responded most effectively to load variations, adjusting system sizing in high-demand regions to minimize transmission losses. FFO was the fastest responding optimization to the changing parameters. Overall, the findings demonstrate that FFO offers high responsiveness in energy system optimization and that simulation-based, region-specific hybrid system design provides actionable insights for sustainable energy policy and planning.

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来源期刊

Ain Shams Engineering Journal Engineering-General Engineering

CiteScore

10.80

自引率

13.30%

发文量

441

审稿时长

49 weeks

期刊介绍： in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance. Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.