Reducing state estimation uncertainty through fuzzy logic evaluation of power system measurements

Keith Holbert; Kang Lin

Reducing state estimation uncertainty through fuzzy logic evaluation of power system measurements

Keith Holbert, Kang Lin

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

State estimation is widely used for bad data detection and identification. To further insure the validity of measurements from the power system, additional information is incorporated into sensor fault detection and isolation schemes. In particular, we develop a fuzzy logic-based state estimation method that includes data such as historical usage trends and component reliability. Results from applying this hybrid fuzzy classifier system to the IEEE 14-bus test system are presented.

Original language	English (US)
Title of host publication	2004 International Conference on Probabilistic Methods Applied to Power Systems
Pages	205-211
Number of pages	7
State	Published - Dec 1 2004
Event	2004 International Conference on Probabilistic Methods Applied to Power Systems - Ames, IA, United States Duration: Sep 12 2004 → Sep 16 2004

Publication series

Name	2004 International Conference on Probabilistic Methods Applied to Power Systems

Other

Other	2004 International Conference on Probabilistic Methods Applied to Power Systems
Country/Territory	United States
City	Ames, IA
Period	9/12/04 → 9/16/04

Keywords

Fuzzy logic
State estimation

ASJC Scopus subject areas

General Engineering

Cite this

Reducing state estimation uncertainty through fuzzy logic evaluation of power system measurements. / Holbert, Keith; Lin, Kang.
2004 International Conference on Probabilistic Methods Applied to Power Systems. 2004. p. 205-211 (2004 International Conference on Probabilistic Methods Applied to Power Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Holbert, K & Lin, K 2004, Reducing state estimation uncertainty through fuzzy logic evaluation of power system measurements. in 2004 International Conference on Probabilistic Methods Applied to Power Systems. 2004 International Conference on Probabilistic Methods Applied to Power Systems, pp. 205-211, 2004 International Conference on Probabilistic Methods Applied to Power Systems, Ames, IA, United States, 9/12/04.

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AB - State estimation is widely used for bad data detection and identification. To further insure the validity of measurements from the power system, additional information is incorporated into sensor fault detection and isolation schemes. In particular, we develop a fuzzy logic-based state estimation method that includes data such as historical usage trends and component reliability. Results from applying this hybrid fuzzy classifier system to the IEEE 14-bus test system are presented.

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ER -

Reducing state estimation uncertainty through fuzzy logic evaluation of power system measurements

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

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