开源PEV收费管理数据框架的案例

T. Markel, M. Kuss, J. Foster, D. Manz, M. Mahony, M. Nielsen, A. Reid, R. Wilk
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引用次数: 5

摘要

未来电气化交通的增长可以通过与智能电网系统架构的交互来增强。本文总结了目前关于插电式电动汽车-可再生能源整合的文献,并强调了需要在多公用事业规模上实施这种整合的领域。未来的智能电网实现是在分布式和集中式决策代理之间传递信息和控制参数的关键。此次讨论强调了利用联邦政府在电网改造和电动汽车引进方面的投资,通过提高可靠性和减少化石燃料消耗来创造全系统价值的机会。将在公用事业电网平衡区域详细介绍一种扩展先前定义的电动汽车“绿色信号”方法的方法。这项研究将包括对协调许多资源的反应所带来的传播机会和挑战的概述。研究结果表明,在个别车辆的充电曲线有所变化的情况下,总体集可以与电网管理方法相结合,显著影响分布式和集中式可再生能源的整合能力,从而改善环境质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The case for open-source PEV charge management data framework
The future growth of electrified transportation could be enhanced through interaction with smart grid system architectures. This paper summarizes current literature regarding plug-in electric vehicle - renewables integration and highlights areas of need to implement such integration at a multi-utility scale. Future smart grid implementations hold the key to transferring information and control parameters between distributed and centralized decision agents. The discussion highlights the opportunity to leverage federal investments in grid renovation and electric vehicle introduction to create system-wide value from improved reliability and reduced fossil fuel consumption. An approach to scaling a previously defined “green signal” methodology for electric vehicles will be detailed across a utility grid balancing region. The research will include a synopsis of the communications opportunities and challenges of coordinating the responses of many resources. The results are expected to show that, with some variation in the charge profiles of individual vehicles, the aggregate set can interface with grid management methods to significantly influence the ability to integrate distributed and centralized renewables to improve environmental quality.
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