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

加拿大交通运输部门严重依赖石油，占碳排放总量的近30%。对全球变暖和天然气价格上涨的担忧是采用电气化运输部门的驱动因素，电气化涉及三种模式：1)陆基车辆，2)飞机和3)海运船只。尽管这种电气化具有许多环境和经济效益，但该部门与现有高度紧张的电网基础设施的整合问题需要更好地管理配电系统资源，以避免停电，电能质量差和资产故障。迄今为止，考虑到电气化运输部门与住宅和商业部门的整合，很少有研究集中于管理现有配电系统资源的运营，以减轻上述问题。我之前成功的发现基金项目的重点是解决将插电式电动汽车整合到住宅领域的问题。当前应用的研究重点是将分析扩展到商业领域的大型大功率快速充电站（LS-HPFCS）的集成，这将从整体上解决两个领域的充电对包括微电网和分布式可再生能源在内的智能配电系统的综合影响。因此，本课题旨在通过采用不同配置和拓扑的LS-HPFCS动态运行模型，并使用先进的时频信号处理工具分析可能出现的电能质量干扰，开展一系列研究来管理LS-HPFCS运行中出现的问题。此外，本研究将开发新的计算智能算法来优化新兴配电系统资源的运行，特别是电池储能和创新的柔性分布式发电，以平滑LS-HPFCS的集成，最终将现有系统转变为智能配电系统。这些调查将提高可靠性和电力质量，同时减少老化电网资产的压力，从而推迟过早的基础设施更换，从而节省成本。此外，LS-HPFCS的成功整合管理将为整合其他运输电气化模式的顺利过渡铺平道路，减少碳足迹，更好地利用电网基础设施。拟议的研究项目具有创新性和变革性，将为研究生提供难得的机会，弥合智能电网相关领域理论与实践之间的差距，从而解决该领域训练有素的毕业生和专业知识的短缺问题。************

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.************