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Advancing Phasor Measurement Unit (PMU) Technology

Advancing Phasor Measurement Unit (PMU) Technology
先进的相量测量单元 (PMU) 技术
批准号:
1232305
负责人:
Liuqing Yang
金额:
$36.0万
依托单位:
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
项目状态:
已结题
起止时间:
2012-11-15 至 2016-10-31

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中文摘要
翻译
研究目标和方法:本研究的目的是为相量测量单元的运行和应用开发有效、高效和实用的算法。其方法是:1)开发具有新颖的信号建模和处理的下一代相量测量单元,以实现静态和动态分析;2)通过探索不良数据识别和去除的方法,彻底了解不良相量数据处理;3)建立理论框架,使用统计推理和压缩传感明确地处理不良数据;以及4)从仿真中识别我们的方法带来改进的态势感知的地方,并用现场数据进行验证。智力优势:相量测量单元的最新水平与其预期的能力之间的差距需要超越今天的先进技术?S行业标准。这项研究计划将通过开发为相量测量单元及其应用量身定做的新型信号处理技术来为这一努力做出贡献。算法的成功开发还将对信号处理中的同步和异常检测的一些基本问题产生影响。广泛的影响:在美国,电力中断每年造成的损失高达1350亿美元。一个主要原因是情境意识不足。随着拟议的进步,下一代相量测量单元将提供真正准确的电网条件图,随时随地。除了将研究课题纳入我们的课程外,我们还将特别努力通过工业实习来丰富研究生的培训,并招募和留住妇女和贫困学生。
英文摘要
Research Objectives and Approaches:The objective of this research is to develop effective, efficient, and practical algorithms for phasor measurement unit operation and application. The approach is to: 1) develop the next generation phasor measurement unit with novel signal modeling and processing to enable both static and dynamic analysis; 2) gain a thorough understanding of bad phasor data processing by exploring methods of bad data identification and removal; 3) establish a theoretical framework to explicitly deal with bad data using statistical inference and compressive sensing; and 4) identify from simulation where our methods bring improved situational awareness, and verify with field data.Intellectual Merit:The gap between the current state of the art in phasor measurement units and their envisioned capability calls for advanced technology beyond today?s industry standards. This research proposal will contribute to this endeavor by developing novel signal processing techniques tailored for thephasor measurement unit and its applications. Successful development of the algorithms will also have impact on a number of fundamental problems of synchronization and anomaly detection in signal processing.Broader Impacts:In the U.S., power interruptions cost up to $135 billion each year. A main cause is inadequate situational awareness. With the proposed advancement, the next generation phasor measurement units will provide a picture of grid conditions that is truly accurate, anytime, and everywhere. Besides integrating research issues into our curriculum, special efforts will be made to enrich graduate student training with industrial internships, and to recruit and retain women and underprivileged students.
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CPS: Medium: Collaborative Research: Collective Intelligence for Proactive Autonomous Driving (CI-PAD)
  • 批准号:
    1932413
  • 项目类别:
    Standard Grant
  • 资助金额:
    $95.83万
  • 财政年份:
    2019
  • 负责人:
    Liuqing Yang
  • 依托单位:
Hybrid mmWave mMIMO Transceiver Design for Doubly-Selective Channels
  • 批准号:
    1935915
  • 项目类别:
    Standard Grant
  • 资助金额:
    $34.45万
  • 财政年份:
    2019
  • 负责人:
    Liuqing Yang
  • 依托单位:
Collaborative Research: EARS: Large-Scale Statistical Learning based Spectrum Sensing and Cognitive Networking
  • 批准号:
    1343189
  • 项目类别:
    Standard Grant
  • 资助金额:
    $26.24万
  • 财政年份:
    2014
  • 负责人:
    Liuqing Yang
  • 依托单位:
CAREER: ACOustic Underwater Sensor NETwork (ACOUSNET) -- Multi-Level Adaptations
  • 批准号:
    1129043
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $40.09万
  • 财政年份:
    2010
  • 负责人:
    Liuqing Yang
  • 依托单位:
海外基金