RIPS Type 2: Collaborative Research: Towards resilient computational models of electricity-gas ICI

RIPS 类型 2：协作研究：建立电力-燃气 ICI 的弹性计算模型

基本信息

批准号：
1441301
负责人：
Anuradha Annaswamy
金额：
$ 178.39万
依托单位：
Massachusetts Institute of Technology
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2014
资助国家：
美国
起止时间：
2014-10-01 至 2017-12-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1441301&HistoricalAwards=false
关键词：
RIPS Type Collaborative Research Towards

项目摘要

One of the fastest growing consumers of Natural Gas (NG) is the electricity sector, through the use of NG-fired power plants. Already a large portion of the electricity portfolio mix in many regions in the US, NG-fired power generation is increasing even further with growing penetration of renewable energy due to the former's fast, on-demand response capabilities, and latter's characteristics of intermittency and uncertainty. As a result, NG and electricity networks are getting increasingly linked and interdependent. Tighter coordination and information sharing between electric grid operators and NG suppliers is therefore becoming highly necessary to have a resilient interdependent critical infrastructure of electricity and NG. This proposal seeks to create computational models of this infrastructure, gain analytical insight into the existing infrastructure in response to system and policy changes, and design guidelines for a coordinated infrastructure with improved resilience. These models are based, wherever possible, on real data from industrial partners and incorporate scaled versions of the electrical and NG networks of the New England area. Specific tools to reach these objectives include security constrained unit commitment, a powerful tool that provides optimal dispatch of power generation for a given network topology and policies, dynamic market mechanisms and hybrid network science, that permit analysis of uncertainty on the infrastructure, and cyber-security based resiliency tools for malicious and non-malicious events.

增长最快的天然气消费者之一是通过使用NG燃力厂的电力部门。在美国许多地区，由于前者的快速，按需响应能力以及后者的间歇性和不确定性的特征，NG燃力发电已经在美国许多地区的大部分组合组合都在进一步增加。结果，NG和电力网络越来越链接和相互依存。因此，电网运营商和NG供应商之间的更严格的协调和信息共享变得非常有必要具有弹性的相互依存的电力和NG的关键基础设施。该提案旨在创建该基础架构的计算模型，以响应系统和策略变更的响应，从而获得对现有基础架构的分析洞察，并为协调的基础架构设计指南，并提高了弹性。这些模型是基于工业合作伙伴的实际数据，并结合了新英格兰地区的电气和NG网络的规模版本。实现这些目标的特定工具包括安全约束的单位承诺，这是一种强大的工具，可为给定的网络拓扑和政策提供最佳发电，动态市场机制和混合网络科学，允许对基础架构的不确定性以及基于网络安全的恢复性工具分析恶意和非恶意事件。