自给自足住宅微电网的动态混合能源管理:一种具有混合备份存储系统集成的灵活性约束方法

IF 8.9 2区 工程技术 Q1 ENERGY & FUELS
Shoaib Ahmed , M.H. Elkholy , M. Talaat , Tomonobu Senjyu , Akie Uehara , Dongran Song , Taghreed Said , Mahmoud M. Gamil , Mohammed Elsayed Lotfy
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引用次数: 0

摘要

埃及能源部门正在经历深刻变革,利用丰富的资源和先进的技术,促进可持续发展,实现能源独立。本研究介绍一种能源管理系统,可优化住宅环境中的能源产生、储存和利用。该系统集成了光伏电池板、风力涡轮机(WTs)和混合备用系统,包括电池储能系统(BESS)、氢存储系统(HSS)和车到户(V2H)技术,以解决能源间歇性带来的挑战。采用TS (Transient Search)优化算法等先进的优化算法,确保高效的能源管理,提高可靠性,最大限度地降低运营成本。该系统在各种需求响应(DR)场景下评估性能,显示出显著的经济效益。如果没有DR,总运营成本为1268.42美元。在20%的DR情况下,这一数字减少到1260.95美元,减少0.59%。在30%的灾难恢复情况下,成本下降到1253.63美元,减少1.17%,而40%的灾难恢复情况下,成本下降到1231.63美元,减少2.91%。这些发现强调了通过DR项目逐步实现的成本节约。该系统的性能与爬行动物搜索算法(RSA)、遗传算法(GA)、粒子群算法(PSO)、灰狼优化器(GWO)和蛾焰优化算法(MFO)进行了基准测试。TS优化算法具有卓越的准确性、更快的收敛速度和更好的资源分配,验证了其在住宅应用能源系统管理方面的有效性,并为埃及的可持续能源目标做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic hybrid energy management for self-sufficient residential microgrids: A flexibility-constrained approach with integration of hybrid backup storage systems
The energy sector in Egypt is undergoing a profound transformation, harnessing its abundant resources and employing advanced technologies to promote sustainability and achieve energy independence. This study introduces an energy management system that optimizes energy generation, storage, and utilization in residential settings. The proposed system integrates PV panels, wind turbines (WTs), and hybrid backup systems, including Battery Energy Storage Systems (BESS), Hydrogen Storage Systems (HSS), and Vehicle-to-Home (V2H) technology, to address the challenges posed by energy intermittency. Advanced optimization algorithms, such as the Transient Search (TS) Optimization algorithm, are employed to ensure efficient energy management, enhance reliability, and minimize operational costs. The system evaluates performance under various demand response (DR) scenarios, demonstrating significant economic benefits. Without DR, the total operational cost is $1268.42. Under a 20 % DR scenario, this reduces to $1260.95, representing a 0.59 % decrease. In a 30 % DR scenario, costs drop to $1253.63, a 1.17 % reduction, while a 40 % DR scenario results in $1231.63, a 2.91 % decrease. These findings underscore the progressive cost savings achieved through DR programs. The performance of the system is benchmarked against the Reptile Search Algorithm (RSA), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO) and Moth Flame Optimization (MFO) algorithm. The TS Optimization algorithm demonstrates superior accuracy, faster convergence, and better resource allocation, validating its effectiveness in managing energy systems for residential applications and contributing to Egypt's sustainable energy goals.
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来源期刊
Journal of energy storage
Journal of energy storage Energy-Renewable Energy, Sustainability and the Environment
CiteScore
11.80
自引率
24.50%
发文量
2262
审稿时长
69 days
期刊介绍: Journal of energy storage focusses on all aspects of energy storage, in particular systems integration, electric grid integration, modelling and analysis, novel energy storage technologies, sizing and management strategies, business models for operation of storage systems and energy storage developments worldwide.
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