✦ LIBER ✦

A method for determining pseudo-measurement state values for topology observability of state estimation in power systems

✍ Scribed by Shoichi Urano; Hiroyuki Mori

Publisher: John Wiley and Sons
Year: 2012
Tongue: English
Weight: 756 KB
Volume: 179
Category: Article
ISSN: 0424-7760
DOI: 10.1002/eej.21235

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

This paper proposes a new technique for determining state values in power systems. Recently, it has been useful for carrying out state estimation with PMU (Phasor Measurement Unit) data. The authors have developed a method for determining state values with an artificial neural network (ANN) considering topology observability in power systems. The ANN has the advantage of approximating nonlinear functions with high precision. The method evaluates pseudo‐measurement state values of data which are lost in power systems. The method has been successfully applied to the IEEE 14‐bus system. © 2012 Wiley Periodicals, Inc. Electr Eng Jpn, 179(2): 27–34, 2012; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/eej.21235

📜 SIMILAR VOLUMES

Optimal timing of observations for state

Optimal timing of observations for state estimation in a one-dimensional linear continuous system

✍ Shogo Tanaka; Tsuyoshi Okita 📂 Article 📅 1985 🏛 Elsevier Science 🌐 English ⚖ 288 KB

This paper considers the optimal timing of observations for the state estimation in a one-dimensional linear continuous stochastic system which is corrupted by white Gaussian noise. The criterion adopted ia a min-max one. The optimal observation times are analytically shown to be located periodicall