Maximizing the output power for electric vehicles charging station powered by a wind energy conversion system using tip speed ratio

IF 2.4 Q3 ENVIRONMENTAL SCIENCES Discover Sustainability Pub Date : 2023-09-26 DOI:10.1007/s43621-023-00155-5
Amro A. Kawashty, Sameh O. Abdellatif, Gamal A. Ebrahim, Hani A. Ghali
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引用次数: 1

Abstract

Abstract This study investigates the influence of tip speed ratio (TSR) as maximum power point tracking (MPPT) technique on energy conversion for wind-powered electric vehicles (EVs) charging stations. The data for 14 different models of (EVs) as well as the energy demand profile for El Sherouk city in new Cairo, Egypt, is used in the study. Those vehicles represent the models that are most likely to be used according to the nature of the Egyptian market from economic and technological concerns. This includes range, battery capacity, battery technology and charging methods. charging can be in the form of fast DC, three phases which are suitable for commercial charging stations or a single phase charging suitable for residential use. A simulation is done using MATLAB/Simulink for a wind turbine Permanent Magnet Synchronous Generator (PMSG) system including TSR MPPT algorithm. The energy output is compared with and without implementing the MPPT algorithms to measure the difference in energy. The system simulation optimized by the TSR MPPT algorithm shows an increase in the energy yield by 41.68%. The economic analysis showed a 30% reduction in the levelized cost of energy while utilizing the TSR concerning a bare system without an MPPT algorithm.
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利用叶尖速比的风能转换系统使电动汽车充电站的输出功率最大化
摘要研究了尖顶速比(TSR)作为最大功率点跟踪(MPPT)技术对风电电动汽车充电站能量转换的影响。该研究使用了14种不同车型(电动汽车)的数据以及埃及新开罗El Sherouk市的能源需求概况。从经济和技术方面考虑,根据埃及市场的性质,这些车辆代表了最有可能使用的车型。这包括续航里程、电池容量、电池技术和充电方法。充电形式可以是快速直流,三相,适用于商业充电站或单相充电,适用于住宅使用。利用MATLAB/Simulink对采用TSR MPPT算法的风力发电永磁同步发电机(PMSG)系统进行了仿真。比较了使用和不使用MPPT算法时的能量输出,以测量能量差。采用TSR MPPT算法优化的系统仿真结果表明,系统的发电量提高了41.68%。经济分析表明,在没有MPPT算法的裸系统中,使用TSR可以降低30%的能源平准化成本。
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来源期刊
Discover Sustainability
Discover Sustainability sustainability research-
CiteScore
4.00
自引率
7.70%
发文量
38
审稿时长
26 days
期刊介绍: Discover Sustainability is part of the Discover journal series committed to providing a streamlined submission process, rapid review and publication, and a high level of author service at every stage. It is a multi-disciplinary, open access, community-focussed journal publishing results from across all fields relevant to sustainability research. We need more integrated approaches to social, environmental and technological systems to address some of the challenges to the sustainability of life on Earth. Discover Sustainability aims to support multi-disciplinary research and policy developments addressing all 17 of the United Nations Sustainable Development Goals (SDGs). The journal is intended to help researchers, policy-makers and the general public understand how we can ensure the well-being of current and future generations within the limits of the natural world by sustaining planetary and human health. It will achieve this by publishing open access research from across all fields relevant to sustainability. Submissions to Discover Sustainability should seek to challenge existing orthodoxies and practices and contribute to real-world change by taking a multi-disciplinary approach. They should also provide demonstrable solutions to the challenges of sustainability, as well as concrete suggestions for practical implementation, such as how the research can be operationalised and delivered within a wide socio-technical system.
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