Optimizing Electric Power Distribution Network Operation with Demand Response, Solar Photovoltaics and Energy Storage to Mitigate the Impact of Growing Electric Vehicle Penetration

本研究的目的是开发一套算法，以优化电力分配网络的运行，将需求响应实践与太阳能光伏和储能技术相结合，以吸收新的电动汽车（EV）。该方法是应用传统的配电系统分析知识，结合基于Agent的技术和各种供需设备的数学模型，以应对配电馈线层面的电动汽车渗透挑战。知识优势-所提出的算法有望通过有助于提高负载因数并允许EV与网格接口，而不添加新的峰值。其他主要贡献在于分析和量化需求响应潜力的方法，以及量化太阳能光伏和储能价值的方法，以减轻电动汽车普及率不断增长的影响。更广泛的影响-所提出的算法将大大有助于更有效地运行的电力分配网络。它将允许配电公司在不损害客户利益的情况下管理终端用户需求？生活方式，同时避免/推迟变压器和开关设备的大规模升级与电动汽车的大规模渗透。监管机构和政策制定者可以利用研究结果来决定什么样的技术组合对缓解日益增长的电动汽车普及率有意义。研究成果还将有助于弗吉尼亚理工大学需求响应实验室的发展，这将扩大学生在学术环境之外的接触。

The objective of this research is to develop a set of algorithms to optimize the operation of an electric power distribution network incorporating demand response practices in combination with solar photovoltaics and energy storage technologies to absorb the new crop of electric vehicles (EVs). The approach is to apply the traditional knowledge of electric power distribution system analysis, together with agent-based technologies and mathematical models of various supply/demand devices, to address EV penetration challenges at the distribution feeder level.Intellectual Merit - The proposed algorithms are expected to potentially modernize current practices of electric power distribution network operation by contributing to load factor improvement and allowing EVs to interface with the grid without adding new peaks. Additional major contributions lie in the methodology to analyze and quantify demand response potentials, as well as the approach to quantify values of solar photovoltaics and storage to mitigate the impact of growing EV penetration. Broader Impacts - The proposed algorithms will contribute greatly to a more efficient operation of the electric power distribution network. It will allow electric distribution companies to manage end-use demand without compromising customers? way of life, while avoiding/deferring extensive upgrades of transformers and switchgears with the large-scale penetration of EVs. Regulators and policy makers can make use of the research outcome to decide what technology combination makes sense in mitigating growing EV penetration. The research outcome will also contribute to the development of a demand response laboratory at Virginia Tech, which will broaden student exposure beyond the academic environment.