电动汽车对能源共享的影响,以优化太阳能光伏发电和电池储能的规模

IF 9 1区 工程技术 Q1 ENERGY & FUELS
Siraj Khanal , Rahmat Khezri , Amin Mahmoudi , Solmaz Kahourzadeh , Hirohisa Aki
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引用次数: 0

摘要

使用电动汽车(EV)的家庭能源共享可通过优化能源使用、减少峰值需求和整合可再生能源来提高可持续性,从而降低成本并提高能源弹性。本研究探讨了电动汽车对参与能源共享计划的并网住宅的太阳能光伏发电系统(SPV)和电池储能系统(BESS)的优化选型问题的影响。本文假设两个家庭共享能源:家庭 1 是拥有电动汽车并打算购买 SPV 和 BESS 的专业消费者,家庭 2 是消费者。优化问题的目的是使住宅-1 的电力成本(COE)最小,并降低住宅-2 的 COE,同时考虑到项目生命周期内的设计限制。针对不同的配置开发了基于规则的能源管理系统,以比较经济和运行结果。优化是通过将辐照度、温度、负荷和电动汽车的不确定性等实际年度数据纳入其中来完成的。所开发的优化技术具有通用性,可用于任何愿意共享电力的并网家庭。对 SPV-BESS 的成本、家庭能源需求和电网出口限制进行了敏感性分析。不确定性分析调查了能源共享和太阳能光伏发电的价格。此外,还分析了不同电动汽车型号及其各自电池容量的影响。结果表明,所提出的能源共享方法使消费者和消费者的 COE 分别降低了 1.2 ¢/kWh 和 3.6 ¢/kWh。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of electric vehicles on energy sharing for optimal sizing of solar PV and battery energy storage
Energy sharing for homes with electric vehicles (EVs) enhances sustainability by optimizing energy usage, reducing peak demand, and integrating renewable energy sources, thereby lowering costs and improving energy resilience. This study investigates the effects of EVs on optimal sizing problem of solar photovoltaic (SPV) and battery energy storage system (BESS) for grid-tied homes which participate in energy sharing schemes. In this paper, it is assumed that the energy is shared between two homes: home-1 as the prosumer which has an EV and intends to buy SPV and BESS, and house-2 which is a consumer. The optimization problem is formulated to achieve the minimum cost of electricity (COE) for home-1 and to reduce the COE for home-2 while taking consideration of the design constraints over the project lifespan. A rule-based energy management system is developed for different sets of configurations to compare the economic and operational results. The optimization is done by incorporating realistic annual data of the irradiance, temperature, load, and uncertainties of EV. The developed optimization technique is general in nature and can be used for any grid tied homes willing to share the electricity. Sensitivity analyses on costs of SPV-BESS, home energy demand, and grid export constraints are provided. Uncertainty analyses investigates the price of energy sharing and solar PV generation. The impact of various EV models with their respective battery capacity is also analyzed. The results show that the proposed energy-sharing methodology reduces the COE for prosumer and consumer by 1.2 ¢/kWh and 3.6 ¢/kWh, respectively.
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来源期刊
Renewable Energy
Renewable Energy 工程技术-能源与燃料
CiteScore
18.40
自引率
9.20%
发文量
1955
审稿时长
6.6 months
期刊介绍: Renewable Energy journal is dedicated to advancing knowledge and disseminating insights on various topics and technologies within renewable energy systems and components. Our mission is to support researchers, engineers, economists, manufacturers, NGOs, associations, and societies in staying updated on new developments in their respective fields and applying alternative energy solutions to current practices. As an international, multidisciplinary journal in renewable energy engineering and research, we strive to be a premier peer-reviewed platform and a trusted source of original research and reviews in the field of renewable energy. Join us in our endeavor to drive innovation and progress in sustainable energy solutions.
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