系统分解对两级状态估计的影响

2007 Power Systems Conference: Advanced Metering, Protection, Control, Communication, and Distributed Resources Pub Date : 2007-03-13 DOI:10.1109/PSAMP.2007.4740898

M.Y. Patel, A. Girgis

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引用次数: 0

摘要

本文比较了基于系统分解的两级状态估计方法的性能。最近世界范围内的大停电和对电力系统的放松管制要求运营商对电力系统有一个广泛的视野，以安全可靠地运行。广域状态估计就是其中一种功能，可以为操作员提供这种视图。两级状态估计可以在不考虑系统大小的情况下提供系统的广域信息，并且不需要在网格区域之间进行任何数据交换。仿真选用的系统是由四个部分组成的1896总线真实世界系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Effect of system decomposition on two-level state estimation

This paper compares the performance of different techniques of two-level state estimation based on system decomposition. Recent major blackouts around the world and deregulation of power systems require the operators to have a wide area view of the power system to operate it securely and reliably. Wide area state estimation is one of the functions that can provide the operators with such a view. Two-level state estimation can provide the information of the system on wide area basis regardless of the size of the system and without any data exchange between the areas of the grid. The system selected for the simulation is 1896-bus real world system consisting of four areas.

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来源期刊

2007 Power Systems Conference: Advanced Metering, Protection, Control, Communication, and Distributed Resources

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