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

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Citations (Scopus)

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. © 2017 PTI.

Original language	English
Title of host publication	Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017
Publisher	IEEE
Pages	1167-1175
ISBN (Print)	9788394625375
DOIs	https://doi.org/10.15439/2017F250
Publication status	Published - 10 Nov 2017
Externally published	Yes
Event	2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017 - Prague, Czech Republic Duration: 3 Sept 2017 → 6 Sept 2017

Publication series

Name	Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017

Conference

Conference	2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017
Place	Czech Republic
City	Prague
Period	3/09/17 → 6/09/17

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

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

SDG 7 Affordable and Clean Energy

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Rasmussen, T. B., Yang, G., Nielsen, A. H., & Dong, Z. Y. (2017). Implementation of a simplified state estimator for wind turbine monitoring on an embedded system. In Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017 (pp. 1167-1175). Article 8104700 (Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017). IEEE. https://doi.org/10.15439/2017F250

Rasmussen, Theis Bo ; Yang, Guangya ; Nielsen, Arne Hejde et al. / Implementation of a simplified state estimator for wind turbine monitoring on an embedded system. Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017. IEEE, 2017. pp. 1167-1175 (Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017).

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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. {\textcopyright} 2017 PTI.",

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

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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 the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017., 8104700, Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017, IEEE, pp. 1167-1175, 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017, Prague, Czech Republic, 3/09/17. 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 the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017. IEEE, 2017. p. 1167-1175 8104700 (Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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AU - Rasmussen, Theis Bo

AU - Yang, Guangya

AU - Nielsen, Arne Hejde

AU - Dong, Zhao Yang

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2017/11/10

Y1 - 2017/11/10

N2 - 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. © 2017 PTI.

AB - 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. © 2017 PTI.

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ER -

Rasmussen TB, Yang G, Nielsen AH, Dong ZY. Implementation of a simplified state estimator for wind turbine monitoring on an embedded system. In Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017. IEEE. 2017. p. 1167-1175. 8104700. (Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017). doi: 10.15439/2017F250

Implementation of a simplified state estimator for wind turbine monitoring on an embedded system

Abstract

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Bibliographical note

UN SDGs

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