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SGER: Intelligent Adaptive Control of Flexible AC Transmission System (FACTS) Devices in a Distributed Power Network Containing Turbogenerators - Resubmission

SGER: Intelligent Adaptive Control of Flexible AC Transmission System (FACTS) Devices in a Distributed Power Network Containing Turbogenerators - Resubmission
SGER:包含涡轮发电机的分布式电网中灵活交流输电系统 (FACTS) 设备的智能自适应控制 - 重新提交
批准号:
0231632
负责人:
Mariesa Crow
金额:
$6.98万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-08-01 至 2004-07-31

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中文摘要
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英文摘要
"Flexible AC Transmission System" (FACTS) devices refer to rapidly switching power semiconductor devices, used in power systems to control the power flow and stabilize voltages. The decentralized nature of their actions may cause deleterious interactions between one FACTS device and another, as well as between FACTS devices and generators in the system. Currently there is a general lack of understanding as to how to systematically coordinate and stabilize system-wide dynamics via local modulation of the faster FACTS devices as well as the slower generators. Nonlinear neurocontrollers offer a solution.This project will evaluate the initial application of neurocontrollers based on different adaptive critic designs to two different types of FACTS devices (one at a time) on a multi-machine power system. An SGER form of proposal is chosen because this is preliminary work based on novel ideas, and if successful, the results will be used to generate a regular proposal which will further investigate the interactions between conventionally controlled generators and multiple neurocontrolled FACTS devices.The significance of this work lies in:o Research Benefits: Locally placed neurocontrolled FACTS devices can provide system wide improved voltage support and stability, thus allowing the entire power system to be operated more efficiently with a smaller stability margin.o Benefits to Society: Economically operated reliable and secure power systems are of national interest. When electricity demand exceeds available supply, it would be beneficial to produce more electrical power per installed Megawatt (and Dollar) of equipment, with the addition of relatively cheap intelligent neurocontrollers.
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会议论文
Stochastic Transient Stability Analysis for Structure Preserved Electric Power Systems
Multiple FACTS Device Coordination Using Synchronized Wide Area Measurements
NEURAL NETWORK BASED WIDE AREA COORDINATION AND LOCAL CONTROL OF ELEMENTS IN A LARGE COMPLEX SYSTEM
Benchmarking Integrated FACTS and Modern Energy Storage Systems
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Intelligent Patent Analysis for Optimized Technology Stack Selection:Blockchain BusinessRegistry Case Demonstration
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    USHARANI HAREESH GOVINDARA JAN
  • 依托单位: