Implementation of a Simplified State Estimator for Wind Turbine Monitoring on an Embedded System

Theis Bo Rasmussen; Guangya Yang; Arne Hejde Nielsen; Zhao Yang Dong

doi:10.15439/2017F250

Implementation of a Simplified State Estimator for Wind Turbine Monitoring on an Embedded System

Theis Bo Rasmussen, Guangya Yang, Arne Hejde Nielsen, Zhao Yang Dong

University of New South Wales

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

The transition towards a cyber-physical energy system (CPES) entails an increased dependency on valid data. Simultaneously, an increasing implementation of renewable generation leads to possible control actions at individual distributed energy resources (DERs). A state estimation covering the whole system, including individual DER, is time consuming and numerically challenging. This paper presents the approach and results of implementing a simplified state estimator onto an embedded system for improving DER monitoring. The implemented state estimator is based on numerically robust orthogonal factorization and used on a set of state equations of a generic wind turbine generator (WTG). The simplified state estimator is tested by simulating a generic WTG model and evaluated based on its execution time and estimation accuracy. Results show its fast execution time, its accuracy in handling normal measurement error and its ability to provide reliable data in the case of gross errors in the set of measurements.

Original language	English
Title of host publication	Proceedings of 2017 Federated Conference on Computer Science and Information Systems
Publisher	IEEE
Publication date	2017
Pages	1167-1175
ISBN (Print)	9788394625382
DOIs	https://doi.org/10.15439/2017F250
Publication status	Published - 2017
Event	Federated Conference on Computer Science and Information Systems 2017 - Czech Technical University , Prague, Czech Republic Duration: 4 Sept 2017 → 7 Sept 2017

Conference

Conference	Federated Conference on Computer Science and Information Systems 2017
Location	Czech Technical University
Country/Territory	Czech Republic
City	Prague
Period	04/09/2017 → 07/09/2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.15439/2017F250

Accepted author manuscriptAccepted author manuscript, 292 KB

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Full text

Federated Conference on Computer Science and Information Systems 2017
Rasmussen, T. B. (Organizer)
3 Sept 2017 → 6 Sept 2017
Activity: Attending an event › Participating in or organising a conference

Academic Research Grant 2017
Rasmussen, T. B. (Recipient), 2017
Prize: Prizes, scholarships, distinctions

Cite this

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title = "Implementation of a Simplified State Estimator for Wind Turbine Monitoring on an Embedded System",

abstract = "The transition towards a cyber-physical energy system (CPES) entails an increased dependency on valid data. Simultaneously, an increasing implementation of renewable generation leads to possible control actions at individual distributed energy resources (DERs). A state estimation covering the whole system, including individual DER, is time consuming and numerically challenging. This paper presents the approach and results of implementing a simplified state estimator onto an embedded system for improving DER monitoring. The implemented state estimator is based on numerically robust orthogonal factorization and used on a set of state equations of a generic wind turbine generator (WTG). The simplified state estimator is tested by simulating a generic WTG model and evaluated based on its execution time and estimation accuracy. Results show its fast execution time, its accuracy in handling normal measurement error and its ability to provide reliable data in the case of gross errors in the set of measurements.",

author = "Rasmussen, {Theis Bo} and Guangya Yang and Nielsen, {Arne Hejde} and Dong, {Zhao Yang}",

year = "2017",

doi = "10.15439/2017F250",

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pages = "1167--1175",

booktitle = "Proceedings of 2017 Federated Conference on Computer Science and Information Systems",

publisher = "IEEE",

address = "United States",

note = "Federated Conference on Computer Science and Information Systems 2017, FedCSIS 2017 ; Conference date: 04-09-2017 Through 07-09-2017",

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Rasmussen, TB, Yang, G, Nielsen, AH & Dong, ZY 2017, Implementation of a Simplified State Estimator for Wind Turbine Monitoring on an Embedded System. in Proceedings of 2017 Federated Conference on Computer Science and Information Systems. IEEE, pp. 1167-1175, Federated Conference on Computer Science and Information Systems 2017, Prague, Czech Republic, 04/09/2017. https://doi.org/10.15439/2017F250

Implementation of a Simplified State Estimator for Wind Turbine Monitoring on an Embedded System. / Rasmussen, Theis Bo; Yang, Guangya; Nielsen, Arne Hejde et al.
Proceedings of 2017 Federated Conference on Computer Science and Information Systems. IEEE, 2017. p. 1167-1175.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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T2 - Federated Conference on Computer Science and Information Systems 2017

Y2 - 4 September 2017 through 7 September 2017

ER -

Implementation of a Simplified State Estimator for Wind Turbine Monitoring on an Embedded System

Abstract

Conference

UN SDGs

Access to Document

OpenUrl availability

Fingerprint

Activities

Federated Conference on Computer Science and Information Systems 2017

Prizes

Academic Research Grant 2017

Cite this