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

通过需求响应、太阳能光伏和储能优化配电网络运行，以减轻电动汽车普及率不断增长的影响

基本信息

批准号：
1232076
负责人：
Manisa Pipattanasomporn
金额：
$ 39.72万
依托单位：
Virginia Polytechnic Institute and State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2012
资助国家：
美国
起止时间：
2012-09-01 至 2017-02-28
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1232076&HistoricalAwards=false
关键词：
Optimizing Electric Power Distribution Network

项目摘要

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.

这项研究的目的是开发一套算法来优化配电网的运行，将需求响应实践与太阳能光伏和储能技术相结合，以吸收新一代的电动汽车(EVS)。该方法是应用配电系统分析的传统知识，结合基于代理的技术和各种供需设备的数学模型，在配电馈线层面解决电动汽车渗透的挑战。智能优点-所提出的算法有望通过有助于提高负荷率并允许电动汽车在不增加新的峰值的情况下与电网对接，潜在地实现配电网运营的现代化。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存储价值的方法，以减轻日益增长的电动汽车普及率的影响。更广泛的影响--所提出的算法将极大地促进配电网更高效的运行。它将允许配电公司在不损害客户的情况下管理最终用户需求？同时避免/推迟随着电动汽车的大规模普及而对变压器和开关设备进行大规模升级。监管机构和政策制定者可以利用这一研究结果来决定什么样的技术组合在缓解日益增长的电动汽车普及率方面是有意义的。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，该实验室将扩大学生在学术环境之外的接触。