基于改进的瞪羚优化算法(IGOA)的太阳能/电池储能/电动汽车充电站优化设计

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Electrical Engineering Pub Date : 2024-08-21 DOI:10.1007/s00202-024-02665-5
R. Venkatesh, S. Kalpanadevi, S. M. Kamali, A. Radhika
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引用次数: 0

摘要

世界上许多城市都提出并实施了小型光伏发电(PV)、电池储能系统(BESS)和电动汽车充电站,将其作为综合系统的一部分,以发展可持续的城市效率,并显著提高太阳能资源的利用率。为了扩大光伏发电和电池储能系统的规模,并确定电池储能系统的充放电模式,本手稿展示了并网光伏发电/电池储能/电动汽车充电站优化模型(PBES)。为了使电力成本最小化,本研究提供了一个并网 PBES 的优化模型。为求解该模型,使用了 GOA-BESA。确定了模型的最佳规模和能源管理技术。因此,本手稿提出了一种智能搜索技术,该技术结合了瞪羚优化算法 (GOA),并利用秃鹰搜索算法 (BESA) 对其进行了改进,命名为改进的瞪羚优化算法 (IGOA)。IGOA 用于模拟电动汽车充电模式,并计算每个时间间隔的电动汽车充电需求。然后,将使用 MATLAB 对建议方法的性能进行评估,并将建议技术与现有技术进行比较。
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Improved gazelle optimization algorithm (IGOA)-based optimal design of solar/battery energy storage/EV charging station

Small-scale photovoltaic (PV), battery energy storage systems (BESS), and electric vehicle charging stations have all been proposed and implemented as part of an integrated system in numerous cities worldwide to develop sustainable urban efficiency and dramatically increase the rate of utilization of solar energy resources. To scale PV and BESS and define BESS’s charging/discharging pattern, this manuscript demonstrates a grid-connected photovoltaic/battery energy storage/EV charging station optimization model (PBES). To minimize the cost of electricity, this study provides an optimization model for a grid-connected PBES. To solve this model, GOA-BESA is used. The model's optimal size and energy management technique are determined. Therefore, this manuscript proposes an intelligent search technique that combines the gazelle optimization algorithm (GOA) and is improved by utilizing the bald eagle search algorithm (BESA) which is named the improved gazelle optimization algorithm (IGOA). The IGOA is employed to simulate EV charging patterns and to calculate the EV charging demand at each time interval. By then the performance of the proposed methodology will be evaluated using MATLAB, and then, the proposed technique will be compared with existing techniques.

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来源期刊
Electrical Engineering
Electrical Engineering 工程技术-工程:电子与电气
CiteScore
3.60
自引率
16.70%
发文量
0
审稿时长
>12 weeks
期刊介绍: The journal “Electrical Engineering” following the long tradition of Archiv für Elektrotechnik publishes original papers of archival value in electrical engineering with a strong focus on electric power systems, smart grid approaches to power transmission and distribution, power system planning, operation and control, electricity markets, renewable power generation, microgrids, power electronics, electrical machines and drives, electric vehicles, railway electrification systems and electric transportation infrastructures, energy storage in electric power systems and vehicles, high voltage engineering, electromagnetic transients in power networks, lightning protection, electrical safety, electrical insulation systems, apparatus, devices, and components. Manuscripts describing theoretical, computer application and experimental research results are welcomed. Electrical Engineering - Archiv für Elektrotechnik is published in agreement with Verband der Elektrotechnik Elektronik Informationstechnik eV (VDE).
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