课题基金 / 基金详情

CRISP 2.0 Type 1: Collaborative Research: Economic Mechanisms for Grid Resilience Against Extreme Events and Natural Gas Disruptions

CRISP 2.0 Type 1: Collaborative Research: Economic Mechanisms for Grid Resilience Against Extreme Events and Natural Gas Disruptions
CRISP 2.0 类型 1:协作研究:电网抵御极端事件和天然气中断的经济机制
批准号:
1832287
负责人:
Daniel Kirschen
金额:
$50.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-01 至 2022-08-31

项目摘要

项目成果

Daniel Kirschen的其他基金

相似基金

相关文献

中文摘要
翻译
这个关键的弹性相互依赖的基础设施系统和过程(CRISP)项目旨在开发一种基于证据的,经济上合理和有效的方法,以提高美国电网的弹性,考虑到它们与天然气供应系统的相互依赖性。该项目开发了一种强大而全面的技术,以量化不同类型的行动和措施如何提高电网的弹性。基于统一现有弹性指标的危害函数,量化了各种网络管理选项的有效性。选项包括:改变电网结构,加固某些部件,扩大天然气输送和储存能力,或加强准备工作。该项目还研究了弹性投资的最佳组合。将使用新英格兰和波多黎各的案例研究对模型进行验证。这项研究遵循三个步骤的方法。在第一步中,研究人员开发了一个伤害函数,统一了现有的弹性指标。该函数被定义为网络中不同节点的停电时间的加权和。基于这一指标,可以严格量化提高电网弹性的措施。在第二步中,研究人员使用考虑天然气传输限制的电力市场均衡模型来优化弹性投资。在第三步中,通过检查美国东北部的天然气和电网测试系统来验证算法、模型和机制,重点是新英格兰地区;以及2)波多黎各的电力系统,其提供了在经历重大中断后的几乎完全重建的真实的系统中测试和验证所述方法的独特机会。该项目的结果将对关注长期投资的监管机构感兴趣,这些投资是有效的,并基于合理的经济原则和监管实践。在这个项目中开发的技术将帮助电力公司比较各种措施的有效性,并证明相应的运营和资本支出的监管机构。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This Critical Resilient Interdependent Infrastructure Systems and Processes (CRISP) project seeks to develop an evidence-based, economically sound and validated approach to enhancing the resilience of US electricity grids, accounting for their interdependence with the natural gas supply system. This project develops a robust and comprehensive technique to quantify how different types of actions and measures improve the resilience of an electric grid. Based on a harm function that unifies existing resilience metrics, the effectiveness of various network management options are quantified. Options include: changing the structure of the electric grid, hardening some components, expanding gas transmission and storage capacity, or boosting preparedness. This project also examines the optimal mix of resilience investments. Models will be validated using case studies in New England and Puerto Rico. This research is following a three step approach. In the first step, the researchers develop a harm function that unifies existing resilience metrics. This function is defined as the weighted sum of the outage time at different nodes of the network. Based on this metric, measures to improve the resilience of the grid can be rigorously quantified. In the second step, the researchers optimize resilience investments using equilibrium models of electricity markets that account for natural gas transmission constraints. In the third step, the algorithms, models and mechanisms are validated examining natural gas and grid test systems in the Northeastern U.S., with a focus on the New England region; and 2) the power system of Puerto Rico, which provides a unique opportunity to test and validate the methods in a real system undergoing an almost complete rebuild after a major disruption. The results of this project will be of interest to regulators concerned with long term investments in resilience that are effective and based on sound economic principles and regulatory practices. The techniques developed in this project will help electric utilities compare the effectiveness of various measures and justify the corresponding operating and capital expenditures to their regulators. The results will be disseminated through undergraduate and graduate infrastructure courses and workshops for utilities, ISOs and government agencies.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(8)
专著(0)
科研奖励(0)
会议论文
PV-Battery Systems for Critical Loads During Emergencies: A Case Study from Puerto Rico After Hurricane Maria
紧急情况下用于关键负载的光伏电池系统:飓风玛丽亚后波多黎各的案例研究
DOI: 10.1109/mpe.2018.2877896
发表时间: 2019
期刊: IEEE Power and Energy Magazine
影响因子: 2.8
作者: [Keerthisinghe, Chanaka, Ahumada-Paras, Mareldi, Pozzo, Lilo D., Kirschen, Daniel S., Pontes, Hugo, Tatum, Wesley K., Matos, Marvi A.]
通讯作者: Matos, Marvi A.
DOI: 10.48550/arxiv.2207.04149
发表时间: 2022-07
期刊: ArXiv
影响因子: --
作者: [Bosong Li;Baosen Zhang;D. Kirschen]
通讯作者: Bosong Li;Baosen Zhang;D. Kirschen
DOI: 10.1016/j.epsr.2020.106725
发表时间: 2021-01
期刊: Electric Power Systems Research
影响因子: 3.9
作者: [Mareldi Ahumada-Paras;K. Sundar;R. Bent;Anatoly Zlotnik]
通讯作者: Mareldi Ahumada-Paras;K. Sundar;R. Bent;Anatoly Zlotnik
DOI: 10.1109/tpwrs.2019.2898966
发表时间: 2017-02
期刊: IEEE Transactions on Power Systems
影响因子: 6.6
作者: [Yushi Tan;F. Qiu;A. Das;D. Kirschen;P. Arabshahi;Jianhui Wang]
通讯作者: Yushi Tan;F. Qiu;A. Das;D. Kirschen;P. Arabshahi;Jianhui Wang
共 7 条
    Optimal restoration of electricity distribution networks under rolling time windows and prediction of restoration time
    • 批准号:
      2139837
    • 项目类别:
      Standard Grant
    • 资助金额:
      $38.0万
    • 财政年份:
      2022
    • 负责人:
      Daniel Kirschen
    • 依托单位:
    EPCN: Quantifying the Resilience of Power Systems to Natural Disasters
    • 批准号:
      1509880
    • 项目类别:
      Standard Grant
    • 资助金额:
      $35.0万
    • 财政年份:
      2015
    • 负责人:
      Daniel Kirschen
    • 依托单位:
    CPS :Synergy: Collaborative Research: Architectural and Algorithmic Solutions for Large Scale PEV Integration into Power Grids
    • 批准号:
      1239408
    • 项目类别:
      Standard Grant
    • 资助金额:
      $33.0万
    • 财政年份:
      2012
    • 负责人:
      Daniel Kirschen
    • 依托单位:
    Seminar for the Next Generation of Researchers in Power Systems - 2007
    • 批准号:
      EP/F03220X/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $1.37万
    • 财政年份:
      2007
    • 负责人:
      Daniel Kirschen
    • 依托单位:
    国内基金
    海外基金
    基于CRISPR2.0精准整合技术的血友病A基因治疗研究
    同带泵浦2.0μm高功率单频光纤激光器研究
    建立基于CRISPR/Cas12a的基因突变检测系统EasyCatch v2.0实现急性髓系白血病快速诊断和动态监测
    • 批准号:
      82300264
    • 项目类别:
      青年科学基金项目
    • 资助金额:
      30万元
    • 批准年份:
      2023
    • 负责人:
      刘银
    • 依托单位:
    多元复合微合金化2.0GPa热成形钢氢致延迟开裂性能及其调控机理研究