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，以优化配电网络的运行，将需求响应实践与太阳能光伏发电和储能技术相结合，以吸收新一批电动汽车（ev）。该方法是应用传统的配电系统分析知识，结合基于代理的技术和各种供需设备的数学模型，来解决配电馈线层面的电动汽车渗透挑战。智能优势-所提出的算法有望通过促进负载因子改善和允许电动汽车与电网接口而不增加新的峰值，从而使配电网络运行的当前实践现代化。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，以减轻日益增长的电动汽车普及率的影响。更广泛的影响-提出的算法将大大有助于更有效地运行配电网络。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。随着电动汽车的大规模普及，避免/推迟变压器和开关设备的大规模升级。监管机构和政策制定者可以利用研究成果来决定哪种技术组合对减缓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范围。

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.