PFI-RP: Increasing the stability of large-scale electric power systems through an adaptive measurement-driven controller prototype.

PFI-RP:通过自适应测量驱动控制器原型提高大型电力系统的稳定性。

基本信息

  • 批准号:
    1941101
  • 负责人:
  • 金额:
    $ 54万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-05-01 至 2025-04-30
  • 项目状态:
    未结题

项目摘要

The broader impact/commercial potential of this Partnerships for Innovation - Research Partnerships (PFI-RP) project, if successful, will be in the availability of an adaptive and reliable controller for large-scale electric power systems. The proposed controller is different from the traditional physical-based model by using an advanced measurement-based approach that will make it adaptive and, therefore, able to provide optimal control under different operating conditions. The proposed controller is expected to significantly mitigate the risk of widespread outages in electric power systems and related economic and societal losses. The controller is also expected to enable operators to maintain electric power system stability, increase the capacity utilization of existing transmission lines and reduce operating and maintenance costs. In addition, the proposed controller is expected to reduce electricity costs for consumers in remote areas and enable the integration of renewable energy sources electric power systems.The proposed project will develop an innovative adaptive wide-area damping controller (WADC) prototype to suppress low-frequency oscillations in large-scale power systems. The project intends to address technical challenges that prevent the application of such a controller to power systems. A robust system identification algorithm will be designed to eliminate the impact of measurement noise and error. A real-time delay compensation and measurement processing technology will be developed to handle time delay and data loss. Cyber-attack detection methods and associated mitigation measures will be developed to ensure the security of this real-time control. The prototype will be demonstrated on a real-time simulation platform that mimics a realistic power system operating environment using realistic grid models, demonstrating a new measurement-driven approach in large-scale power system modeling and control.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.
如果成功,该创新合作伙伴关系 - 研究合作伙伴关系 (PFI-RP) 项目的更广泛影响/商业潜力将在于为大型电力系统提供自适应且可靠的控制器。所提出的控制器与传统的基于物理的模型不同,它使用先进的基于测量的方法,使其具有自适应性,因此能够在不同的操作条件下提供最佳控制。拟议的控制器预计将显着降低电力系统大范围停电的风险以及相关的经济和社会损失。该控制器还有望帮助运营商保持电力系统稳定性,提高现有输电线路的容量利用率,并降低运营和维护成本。此外,拟议的控制器预计将降低偏远地区消费者的电力成本,并实现可再生能源电力系统的集成。拟议的项目将开发一种创新的自适应广域阻尼控制器(WADC)原型,以抑制低大型电力系统中的频率振荡。该项目旨在解决阻碍此类控制器在电力系统中应用的技术挑战。将设计鲁棒的系统识别算法来消除测量噪声和误差的影响。将开发实时延迟补偿和测量处理技术来处理时间延迟和数据丢失。将开发网络攻击检测方法和相关缓解措施,以确保这种实时控制的安全。该原型将在实时仿真平台上进行演示,该平台使用真实的电网模型模拟真实的电力系统运行环境,展示大规模电力系统建模和控制中的新的测量驱动方法。该奖项反映了 NSF 的法定使命,并具有通过使用基金会的智力优点和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Adaptive Power Oscillation Damping Control via VSC- HVDC for the Great Britain Power Grid
英国电网通过 VSC-HVDC 进行自适应功率振荡阻尼控制
Forced Oscillation Grid Vulnerability Analysis and Mitigation Using Inverter-Based Resources: Texas Grid Case Study
使用基于逆变器的资源进行强制振荡电网脆弱性分析和缓解:德克萨斯电网案例研究
  • DOI:
    10.3390/en15082819
  • 发表时间:
    2022-04
  • 期刊:
  • 影响因子:
    3.2
  • 作者:
    Alshuaibi, Khaled;Zhao, Yi;Zhu, Lin;Farantatos, Evangelos;Ramasubramanian, Deepak;Yu, Wenpeng;Liu, Yilu
  • 通讯作者:
    Liu, Yilu
Comparison of Wide-Area and Local Power Oscillation Damping Control Through Inverter-Based Resources
通过基于逆变器的资源进行广域和局部功率振荡阻尼控制的比较
Coordinated Control of Natural and Sub-Synchronous Oscillations via HVDC Links in Great Britain Power System
英国电力系统中通过 HVDC 链路协调自然振荡和次同步振荡
A Comprehensive Method to Mitigate Forced Oscillations in Large Interconnected Power Grids
缓解大型互连电网受迫振荡的综合方法
  • DOI:
    10.1109/access.2021.3056123
  • 发表时间:
    2021-01
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Zhu, Lin;Yu, Wenpeng;Jiang, Zhihao;Zhang, Chengwen;Zhao, Yi;Dong, Jiaojiao;Wang, Weikang;Liu, Yilu;Farantatos, Evangelos;Ramasubramanian, Deepak;et al
  • 通讯作者:
    et al
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Yilu Liu其他文献

Mitigation of the wind generation integration related power quality issues by energy storage
通过储能缓解风力发电并网相关的电能质量问题
Frequency Sensitivity and Electromechanical Propagation Simulation Study in Large Power Systems
大型电力系统中的频率敏感性和机电传播仿真研究
Pre-existing cardiometabolic comorbidities and survival of middle-aged and elderly non-small cell lung cancer patients.
中老年非小细胞肺癌患者原有的心脏代谢合并症和生存率。
  • DOI:
    10.26599/1671-5411.2023.10.002
  • 发表时间:
    2023-10-01
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Hanyang Liang;Dong Liu;Hao Wang;Zhengqing Ba;Ying Xiao;Yilu Liu;Yong Wang;Jiansong Yuan
  • 通讯作者:
    Jiansong Yuan
Calculation of electric field and audible noise from transmission lines with non-parallel conductors
计算非平行导体传输线的电场和可听噪声
Multi-Interharmonic Spectrum Separation and Measurement Under Asynchronous Sampling Condition
异步采样条件下的多间谐波频谱分离与测量

Yilu Liu的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Yilu Liu', 18)}}的其他基金

AI-Assisted Algorithms for Automatic AC Power Flow Model Creation based on DC Dispatch
基于直流调度的人工智能辅助自动交流潮流模型创建算法
  • 批准号:
    2243204
  • 财政年份:
    2023
  • 资助金额:
    $ 54万
  • 项目类别:
    Standard Grant
MRI: Development of Pulsar-based Power Grid Timing Instrumentation and Technology
MRI:基于脉冲星的电网授时仪器和技术的发展
  • 批准号:
    1920025
  • 财政年份:
    2019
  • 资助金额:
    $ 54万
  • 项目类别:
    Standard Grant
CPS: Small: Data-driven Real-time Data Authentication in Wide-Area Energy Infrastructure Sensor Networks
CPS:小型:广域能源基础设施传感器网络中数据驱动的实时数据身份验证
  • 批准号:
    1931975
  • 财政年份:
    2019
  • 资助金额:
    $ 54万
  • 项目类别:
    Standard Grant
EAGER: Real-Time: Intelligent Mitigation of Low-Frequency Oscillations in Smart Grid Using Real-time Learning
EAGER:实时:利用实时学习智能缓解智能电网中的低频振荡
  • 批准号:
    1839684
  • 财政年份:
    2018
  • 资助金额:
    $ 54万
  • 项目类别:
    Standard Grant
Using Measurement-based Approach to Model, Predict and Control Large-scale Power Grids
使用基于测量的方法对大型电网进行建模、预测和控制
  • 批准号:
    1509624
  • 财政年份:
    2015
  • 资助金额:
    $ 54万
  • 项目类别:
    Standard Grant
Multiple FACTS Devices Coordination Using Synchronized Wide Area Measurements (Collaborative Proposal with UMR)
使用同步广域测量协调多个 FACTS 设备(与 UMR 的合作提案)
  • 批准号:
    0701744
  • 财政年份:
    2007
  • 资助金额:
    $ 54万
  • 项目类别:
    Standard Grant
Study of Global Power System Dynamic Behavior Based on Wide-Area Frequency Measurements
基于广域频率测量的全球电力系统动态行为研究
  • 批准号:
    0523315
  • 财政年份:
    2005
  • 资助金额:
    $ 54万
  • 项目类别:
    Standard Grant
MRI: Development of Integrative Instrumentation for A Nation-Wide Power System Frequency Dynamics Monitoring Network
MRI:全国电力系统频率动态监测网络综合仪器的开发
  • 批准号:
    0215731
  • 财政年份:
    2002
  • 资助金额:
    $ 54万
  • 项目类别:
    Standard Grant
Integration of Energy Storage Systems and Modern Flexible AC Transmission Devices
储能系统与现代柔性交流输电装置的集成
  • 批准号:
    9988868
  • 财政年份:
    2000
  • 资助金额:
    $ 54万
  • 项目类别:
    Standard Grant
GOALI-Technologies Joint Research Project
GOALI-Technologies联合研究项目
  • 批准号:
    9801139
  • 财政年份:
    1998
  • 资助金额:
    $ 54万
  • 项目类别:
    Standard Grant

相似国自然基金

点蜂缘蝽效应子RP29负调控光合作用影响大豆籽粒发育的机制解析
  • 批准号:
    32372531
  • 批准年份:
    2023
  • 资助金额:
    50 万元
  • 项目类别:
    面上项目
点蜂缘蝽唾液效应子Rp614抑制大豆免疫反应的分子机制解析
  • 批准号:
    32372633
  • 批准年份:
    2023
  • 资助金额:
    50 万元
  • 项目类别:
    面上项目
RP1调控大豆开花后期的分子机制解析
  • 批准号:
    32372112
  • 批准年份:
    2023
  • 资助金额:
    50 万元
  • 项目类别:
    面上项目
LncRNA RP11-346C20.3通过USP12/ZFP36/MET轴抑制子宫内膜癌发生发展的作用及机制研究
  • 批准号:
    82303134
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
应用USH2A基因敲除食蟹猴研究光感受器基质在RP/USH II疾病发生发展中的作用及机制
  • 批准号:
    32370878
  • 批准年份:
    2023
  • 资助金额:
    50 万元
  • 项目类别:
    面上项目

相似海外基金

Increasing the speed and accuracy of proteomics protocols through the development of accurate peptide retention prediction models in RP-HPLC
通过在 RP-HPLC 中开发准确的肽保留预测模型,提高蛋白质组学方案的速度和准确性
  • 批准号:
    355939-2011
  • 财政年份:
    2015
  • 资助金额:
    $ 54万
  • 项目类别:
    Discovery Grants Program - Individual
Increasing the speed and accuracy of proteomics protocols through the development of accurate peptide retention prediction models in RP-HPLC
通过在 RP-HPLC 中开发准确的肽保留预测模型,提高蛋白质组学方案的速度和准确性
  • 批准号:
    355939-2011
  • 财政年份:
    2015
  • 资助金额:
    $ 54万
  • 项目类别:
    Discovery Grants Program - Individual
Increasing the speed and accuracy of proteomics protocols through the development of accurate peptide retention prediction models in RP-HPLC
通过在 RP-HPLC 中开发准确的肽保留预测模型,提高蛋白质组学方案的速度和准确性
  • 批准号:
    355939-2011
  • 财政年份:
    2014
  • 资助金额:
    $ 54万
  • 项目类别:
    Discovery Grants Program - Individual
Increasing the speed and accuracy of proteomics protocols through the development of accurate peptide retention prediction models in RP-HPLC
通过在 RP-HPLC 中开发准确的肽保留预测模型,提高蛋白质组学方案的速度和准确性
  • 批准号:
    355939-2011
  • 财政年份:
    2014
  • 资助金额:
    $ 54万
  • 项目类别:
    Discovery Grants Program - Individual
Increasing the speed and accuracy of proteomics protocols through the development of accurate peptide retention prediction models in RP-HPLC
通过在 RP-HPLC 中开发准确的肽保留预测模型,提高蛋白质组学方案的速度和准确性
  • 批准号:
    355939-2011
  • 财政年份:
    2013
  • 资助金额:
    $ 54万
  • 项目类别:
    Discovery Grants Program - Individual
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了