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Robust Control of Large Scale Power Systems

Robust Control of Large Scale Power Systems
大型电力系统的鲁棒控制
批准号:
9810081
负责人:
Mustafa Khammash
金额:
$23.77万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1998
资助国家:
美国
项目状态:
已结题
起止时间:
1998-08-15 至 2002-01-31

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中文摘要
翻译
ECS-9810081 Khammash 近年来,随着竞争市场的出现和放松管制,北美电力互联网发生了重大变化。 这些变化将对系统的运行和规划提出新的要求。很可能的是,开放式接入的出现,以及竞争市场中的电力旋转,将推动在更高的负荷水平下操作和规划系统的需求,从而导致对系统的进一步压力。 在很大程度上,充分的系统动态性能将取决于关键控制的正确操作和性能。 这些控制器的正确设计和鲁棒性能对于互联电力系统的可靠运行是必不可少的。 本建议涉及应用现代鲁棒控制方法设计和分析大规模电力系统控制的技术发展。 我们建议扩展现有的鲁棒稳定性分析方法,以处理大规模电力系统问题。 具体来说,我们打算使用结构奇异值方法,并开发分析和数值技术,以利用大型电力系统的结构特性。 我们将研究和发展适用于大规模问题的数值技术。 这些发展将涉及与不确定性表征和参数选择、频率扫描、利用分支和界限技术的状态空间方法以及控制综合的有效技术有关的问题。 开发的方法将被应用到现实的测试系统从两个北美电力公司。
英文摘要
ECS-9810081 Khammash In recent years, the North American Electric Interconnection has undergone major changes with the advent of a competitive market place, and deregulation. These changes will impose new requirements on system operation and planning. It is likely that the emergence of open access, and wheeling of power in a competitive market place will drive the need to operate and plan the system at higher levels of loading, leading to further stress on the system. To a large extent, adequate system dynamic performance will depend on the proper operation and performance of critical controls. Proper design and robust performance of these controls are essential for the reliable operation of the interconnected power system. This proposal deal with development of techniques to apply modern robust control methods to design and analyze controls for large scale power systems. We propose to extend existing methods of robust stability analysis to deal with large scale power system problems. Specifically we intend to use the Structured Singular Value approach, and develop analytical and numerical techniques to exploit the structural characteristics of large power systems. We will investigate and develop numerical techniques which are suitable for large scale problems. The developments would involve issues related to uncertainty characterization and parameter selection, frequency sweeps, state space methods utilizing branch and bound techniques, and efficient techniques for control synthesis. The methods developed will be applied to realistic test systems obtained from two North American Electric Utilities.
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