Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/85576
Author(s): | Bruna Daniela Costa Tavares |
Title: | Sensory fusion applied to power system state estimation considering information theory concepts |
Issue Date: | 2016-07-18 |
Description: | With the increasing integration of synchronized phasor measurement units (PMU) in power grids appears the necessity to create methods capable to merge the information obtained from different classes of sensors, namely PMU and the conventional sensors already integrated in the SCADA system. Thus, this dissertation proposes a sensory fusion that guarantees the previous requirement. Beyond that, this thesis proposes an application of concepts related with Information theory to the state estimation problem. This application aims to propose a robust state estimator without the necessity of previous treatment of the acquired data. |
Subject: | Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
TID identifier: | 201298163 |
URI: | https://repositorio-aberto.up.pt/handle/10216/85576 |
Document Type: | Dissertação |
Rights: | openAccess |
License: | https://creativecommons.org/licenses/by-nc/4.0/ |
Appears in Collections: | FEUP - Dissertação |
Files in This Item:
File | Description | Size | Format | |
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146721.pdf | Sensory fusion applied to power system state estimation considering information theory concepts | 2.94 MB | Adobe PDF | View/Open |
146721.1.pdf | Sensory fusion applied to power system state estimation considering information theory concepts- Long Abstract | 2.94 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License