电力系统的systematıc方法

Serdar Guneli, A. Demirkol
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引用次数: 0

摘要

在本研究中,讨论了电力系统建模的一般方法。本文所处理的电力系统模型是基于分布在空间中的传感器的观测。估计各传感器覆盖范围内电力系统的动态参数,使控制和跟踪系统成为可能。为此,由分布式网络结构组成的传感器和电力系统被预先设定为一种称为分散卡尔曼滤波的随机模型。从而实现系统输出的准确估计和测量。因此,提出了一个理论模型,提供了电力系统的一般印象和公式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A systematıc approach to power systems
In this study, a general approach for modeling power systems is discussed. The power system model, handled in this paper, is based on observation with sensors distributed in space. To estimate the dinamic parameters of power systems in the coverage of each sensors, makes control and keep track of system possible. For this purpose, the sensors and power systems which are organized by a distributed network structure, predisposed to a stochastic model called decentralized Kalman filter. Thus, the accurate estimation and measure of system outputs are aimed. Accordingly, a theoretic model has been proposed that provides a general impression and formulation of power systems.
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