Voltage Stability and Control in Smart Grids

智能电网中的电压稳定性和控制

基本信息

  • 批准号:
    1002265
  • 负责人:
  • 金额:
    $ 34.98万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2010
  • 资助国家:
    美国
  • 起止时间:
    2010-09-15 至 2016-08-31
  • 项目状态:
    已结题

项目摘要

Project AbstractVoltage Stability and Control in Smart GridsObjectiveThe objective of this project is to develop advanced voltage control methods for future smart grids. The focus is transient and short-duration voltage instability which will become more prevalent in future distribution systems with high penetration of renewable generation. The approach is to first identify possible forms of voltage instability by experiments on a virtual and a hardware-in-the-loop system test-bed. Typical instability behaviors will be characterized by proper system models to determine their origins and most effective mitigation methods. Distributed voltage control techniques are then developed for representative renewable sources and energy storage devices which function autonomously but collectively support system stability. The developed control techniques will be tested and demonstrated on the hardware-in-the-loop system test-bed.Intellectual MeritThis research explores an interdisciplinary area among power systems, power electronics, and control, and addresses several fundamental modeling and control issues related to renewable energy grid integration, efficient energy utilization, and smart grids. The focus on analytical methods and tools combined with experimental work on system test-beds ensures general applicability of the research while providing practical solutions to real-world problems.Broader ImpactThe control techniques to be developed in this project will help transform today's largely passive, unidirectional, and protection-centric power distribution network into a smart grid capable of accommodating any amount of renewable energy anywhere and at any time. This will reduce the reliance on fossil fuel, improve national energy security, and enable a more sustainable economy. Close partnership with the industry provides a unique pathway for technology transfer and knowledge dissemination.
项目摘要:智能电网电压稳定与控制项目目的为未来智能电网开发先进的电压控制方法。重点是瞬态和短时电压不稳定,这将在未来可再生能源发电高渗透率的配电系统中变得更加普遍。该方法首先通过虚拟和硬件在环系统试验台上的实验来识别电压不稳定的可能形式。典型的不稳定行为将通过适当的系统模型来表征,以确定其起源和最有效的缓解方法。分布式电压控制技术随后被开发用于具有代表性的可再生能源和能量存储设备,这些设备自主运行,但共同支持系统稳定性。开发的控制技术将在硬件在环系统试验台上进行测试和演示。本研究探索了电力系统、电力电子和控制的跨学科领域,并解决了与可再生能源电网集成、高效能源利用和智能电网相关的几个基本建模和控制问题。对分析方法和工具的关注与系统测试平台上的实验工作相结合,确保了研究的一般适用性,同时为现实世界的问题提供了实际的解决方案。更广泛的影响在这个项目中开发的控制技术将有助于将今天基本上是被动的、单向的、以保护为中心的配电网络转变为一个能够随时随地容纳任何数量的可再生能源的智能电网。这将减少对化石燃料的依赖,提高国家能源安全,使经济更加可持续。与工业界的密切伙伴关系为技术转让和知识传播提供了独特的途径。

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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Jian Sun其他文献

Microstructure and hardness evolution induced by annealing of ion irradiated LiTaO3
离子辐照 LiTaO3 退火引起的显微组织和硬度演变
  • DOI:
    10.1016/j.apsusc.2022.156222
  • 发表时间:
    2022-12
  • 期刊:
  • 影响因子:
    6.7
  • 作者:
    Yong Liu;Jian Sun;Xinqing Han;Qing Huang;Eva Zarkadoula;Miguel L. Crespillo;Ning Gao;Xuelin Wang;Peng Liu
  • 通讯作者:
    Peng Liu
Short-Term Travel Speed Prediction for Urban Expressways: Hybrid Convolutional Neural Network Models
城市快速路短期行驶速度预测:混合卷积神经网络模型
Design and synthesis of a novel series of N,4-diphenylpyrimidin-2-amine derivatives as potent and selective PI3Kγ inhibitors
设计和合成一系列新型 N,4-二苯基嘧啶-2-胺衍生物作为有效的选择性 PI3Kγ 抑制剂
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Huaiyu Yang;Fei Fang;Chang;Dongdong Li;Jing;Jian Sun;Qian;Hailiang Zhu
  • 通讯作者:
    Hailiang Zhu
A dual-scale hybrid prediction model for UAV demand power: Based on VMD and SSA optimization algorithm
无人机需求功率双尺度混合预测模型:基于VMD和SSA优化算法
  • DOI:
    10.3233/jifs-234263
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Bin Zhang;Jianqi Li;Zewen Li;Jian Sun;Yixiang Xia;Pinlong Zou
  • 通讯作者:
    Pinlong Zou
Isotropic all-electric spin analyzer based on a quantum ring with spin–orbit couplings
基于具有自旋轨道耦合的量子环的各向同性全电自旋分析仪
  • DOI:
    10.1063/5.0036845
  • 发表时间:
    2020-02
  • 期刊:
  • 影响因子:
    4
  • 作者:
    Shenglin Peng;Fangping Ouyang;Jian Sun;Ai-Min Guo;Tapash Chakraborty;Wenchen Luo
  • 通讯作者:
    Wenchen Luo

Jian Sun的其他文献

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