Integrating transportation electrification into smart distribution systems with large-scale high-power fast charging stations

通过大型大功率快速充电站将交通电气化融入智能配电系统

• 批准号: RGPIN-2018-05647
• 负责人: Ibrahim, Walid
• 金额: $ 2.4万
• 依托单位: University of Ontario Institute of Technology
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=654210
• 关键词: Integrating; transportation; electrification; into; smart

The Canadian transportation sector relies heavily on oil, which accounts for almost 30% of the total carbon emissions. Concerns regarding global warming and rising gas prices are drivers for adopting the electrification of the transportation sector, which involves three modes: 1) land-based vehicles, 2) aircraft and 3) sea-going vessels. Despite many environmental and economic benefits of such electrification, the integration issues of this sector with the existing highly stressed electric grid infrastructure needs better management of the distribution system resources to avoid power outages, poor power quality and asset failure. To date, little research has focused on managing the operation of the existing distribution system resources to mitigate the aforementioned issues considering the integration of the electrified transportation sector into both the residential and the commercial sectors. The focus of my pervious successful Discovery Grant program was to address the problems of integrating plug-in electric vehicles into the residential sector. The research in the current application is focused on extending the analysis to incorporate the integration of large-scale high-power fast charging stations (LS-HPFCS) in the commercial sector, which will address the combined effect of charging in both sectors on the smart distribution system including microgrids and distributed renewable energy resources, in a holistic manner. Hence, this proposal aims to conduct a series of investigations to manage the issues resulting from the operation of the LS-HPFCS using dynamic operational models of LS-HPFCS with different configurations and topologies and using advanced time-frequency signal processing tools to analyze possible power quality disturbances. In addition, this research will develop new computationally intelligent algorithms to optimize the operation of emerging distribution system resources, particularly battery energy storage and the innovative flexible distributed generation to smooth the integration of LS-HPFCS, which will eventually lead to the transformation of the existing system into a smart distribution system. These investigations will lead to improved reliability and power quality in addition to reducing the stress on the aging grid assets leading to deferral of premature infrastructure replacement and hence cost savings. Moreover, the successful management of integrating LS-HPFCS will pave the way towards a smooth transition in integrating the other modes of transportation electrification, reducing the carbon footprint and better utilizing the grid infrastructure. The proposed research program is innovative, transformative and will provide exceptional opportunities for graduate students to bridge the gaps between theory and practice in smart grid-related areas, hence addressing the shortage in trained graduates and expertise in this field.************

加拿大运输部门在很大程度上依赖石油，该石油占碳排放量的近30％。对全球变暖和汽油价格上涨的担忧是采用运输部门电气化的驱动因素，涉及三种模式：1）陆基车辆，2）飞机和3）海上船只。尽管这种电气化有许多环境和经济利益，但该部门与现有高度压力的电网基础设施的整合问题需要更好地管理分配系统资源，以避免停电，差的电力质量和资产故障。迄今为止，考虑到将电气化运输部门整合到住宅和商业部门的情况下，几乎没有研究重点是管理现有分配系统资源的运行，以减轻上述问题。我透明的成功发现赠款计划的重点是解决将插件电动汽车集成到住宅领域的问题。当前应用程序中的研究集中在扩展分析，以结合商业领域中大型高功率快速充电站（LS-HPFC）的整合，这将解决两个行业对智能分配系统中充电的综合效果，包括微电流和分布式可再生能源。因此，该提案旨在进行一系列研究，以使用具有不同配置和拓扑的LS-HPFC的动态操作模型来管理由LS-HPFC运行引起的问题，并使用先进的时频信号处理工具来分析可能的功率质量干扰。此外，这项研究将开发新的计算智能算法，以优化新兴分配系统资源的运行，尤其是电池能量存储和创新的灵活分布生成，以平滑LS-HPFC的集成，这最终将导致现有系统转换为智能分配系统。除了减少对衰老的电网资产的压力外，这些调查还将提高可靠性和功率质量，从而导致延期过早的基础设施更换，从而节省成本。此外，整合LS-HPFC的成功管理将为整合其他运输电气化模式，减少碳足迹并更好地利用网格基础设施的方式铺平道路。拟议的研究计划具有创新性，变革性，将为研究生提供与智能网格相关领域理论与实践之间差距弥合差距的特殊机会，从而解决了训练有素的毕业生和该领域的专业知识的短缺。******************************************