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: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=752792
• 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.

加拿大交通运输业严重依赖石油，石油排放量几乎占总碳排放量的30%。对全球变暖和天然气价格上涨的担忧是交通运输部门采用电气化的驱动力，其中涉及三种模式：1）陆基车辆，2）飞机和3）海船。尽管电气化带来许多环境和经济效益，但该行业与现有压力很大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，考虑到电气化交通部门与住宅和商业部门的整合，很少有研究关注管理现有配电系统资源的运行，以缓解上述问题。我之前成功的发现资助计划的重点是解决将插电式电动汽车融入住宅领域的问题。当前应用的研究重点是将分析扩展到商业领域的大规模大功率快速充电站（LS-HPFCS）的集成，这将解决两个领域充电对智能汽车的综合影响。配电系统包括微电网和分布式可再生能源，以整体方式。因此，本提案旨在进行一系列调查，以使用具有不同配置和拓扑的 LS-HPFCS 动态运行模型，并使用先进的时频信号处理工具来分析可能的功率，以管理 LS-HPFCS 运行所产生的问题。质量干扰。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灵活分布式发电，以平滑LS-HPFCS的集成，最终将导致现有配电系统的转型系统转变为智能配电系统。这些调查将提高可靠性和电能质量，并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整合的成功管理将为整合其他交通电气化模式、减少碳足迹和更好地利用电网基础设施的平稳过渡铺平道路。拟议的研究项目具有创新性和变革性，将为研究生提供绝佳的机会，弥合智能电网相关领域理论与实践之间的差距，从而解决该领域受过培训的毕业生和专业知识的短缺问题。