A Test-bed for Analyzing the Security and Resilience of the DG-Integrated Electric Power Distribution Network
A Test-bed for Analyzing the Security and Resilience of the DG-Integrated Electric Power Distribution Network
批准号:
0901410
负责人:
Manisa Pipattanasomporn
金额:
$30.44万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-15 至 2013-08-31
中文摘要
本研究的目的是开发一个模拟试验台,以分析微电网在不同运行条件下的安全性和弹性。该试验台将允许对不同类型和大小的分布式发电和存储单元以及各种发电和负荷控制机制进行详细的性能评估。本研究运用电力系统、基于智能体技术、基于IP网络和博弈论等领域的概念,对智能微电网的分布式建模与仿真进行研究。智力价值:这项研究的智力价值是开发了一个模拟试验台,其中包括用于微电网运行的详细设备模型和多代理技术。该试验台预计将协助分析和评估电力微电网设计。它将帮助研究人员、系统规划者和政策制定者量化和分析各种分布式发电设备以及各种负载和发电控制算法对电力微电网的安全性和弹性的影响。更广泛的影响:微电网模拟试验台预计将通过真实世界的例子和案例研究,扩大学生在学术环境之外的体验。此外,它还将为活跃在类似研究领域的学术界和工业界同事提供一个合作研究机会的平台。
英文摘要
The objective of the proposed research is to develop a simulation test-bed to analyze the security and resilience of the microgrid under diverse operating conditions. This test-bed will allow a detailed performance evaluation of different types and sizes of distributed generation and storage units, together with various generation and load control mechanisms. This research applies concepts from the fields of power systems, agent-based technologies, IP-based network and game theory to address the modeling and simulation of an intelligent microgrid at the distribution level. Intellectual merit: The intellectual merit of this research is the development of a simulation test bed that comprises detailed device models and multi-agent technologies for microgrid operation. The test bed is expected to assist with the analysis and evaluation of electric power microgrid designs. It will assist researchers, system planners, and policy makers in quantifying and analyzing the impact of various distributed generation devices, as well as various load and generation control algorithms, on the security and resiliency of the electric power microgrid. Broader impacts: The microgrid simulation test bed is expected to broaden the student experience beyond the academic environment through real-world examples and case studies. In addition, it will provide a platform for collaborative research opportunities with colleagues in academia and industry who are active in similar research areas.
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