Optimizing Data Access for Wind Farm Control over Hierarchical Communication Networks
We investigate a centralized wind farm controller which runs periodically. The controller attempts to reduce the damage a wind turbine sustains during operation by estimating fatigue based on the wind turbine state. The investigation focuses on the impact of information access and communication netw...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2016-05-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2016/5936235 |
| _version_ | 1797716763645837312 |
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| author | Jacob Madsen Mislav Findrik Tatiana Madsen Hans-Peter Schwefel |
| author_facet | Jacob Madsen Mislav Findrik Tatiana Madsen Hans-Peter Schwefel |
| author_sort | Jacob Madsen |
| collection | DOAJ |
| description | We investigate a centralized wind farm controller which runs periodically. The controller attempts to reduce the damage a wind turbine sustains during operation by estimating fatigue based on the wind turbine state. The investigation focuses on the impact of information access and communication networks on the controller performance. We start by investigating the effects of a communication network that introduces delays in the information access for the central controller. The control performance as measured by accumulated fatigue is shown to be significantly impacted by communication delays and also by the choice of the time instances at which sensor information is accessed. In order to optimize the latter, we introduce an information quality metric and a mathematical model based on Markov chains, which are compared performance-wise to a heuristic approach for finding this parameter. This information quality metric is called mismatch probability, mmPr, and is used to express quantitatively the information accuracy in a given scenario. Lastly, measurements of different communication technologies have been performed in order to carry out the analysis in a practically relevant scenario with respect to the communication network delays. These measurements are done in regard to packet loss and communication delays, and the simulations are rerun using either the traces from the measurements or scenarios constructed from the delay parameters. |
| first_indexed | 2024-03-12T08:26:23Z |
| format | Article |
| id | doaj.art-ffc6d2d5d09b435dbe1159b1c688ea08 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T08:26:23Z |
| publishDate | 2016-05-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-ffc6d2d5d09b435dbe1159b1c688ea082023-09-02T18:06:03ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772016-05-011210.1155/2016/5936235Optimizing Data Access for Wind Farm Control over Hierarchical Communication NetworksJacob Madsen0Mislav Findrik1Tatiana Madsen2Hans-Peter Schwefel3 Department of Electrical and Computer Engineering, Aalborg University, 9000 Aalborg, Denmark Austrian Institute of Technology (AIT), 1220 Vienna, Austria Department of Electrical and Computer Engineering, Aalborg University, 9000 Aalborg, Denmark Telecommunications Research Center Vienna (FTW), 1220 Vienna, AustriaWe investigate a centralized wind farm controller which runs periodically. The controller attempts to reduce the damage a wind turbine sustains during operation by estimating fatigue based on the wind turbine state. The investigation focuses on the impact of information access and communication networks on the controller performance. We start by investigating the effects of a communication network that introduces delays in the information access for the central controller. The control performance as measured by accumulated fatigue is shown to be significantly impacted by communication delays and also by the choice of the time instances at which sensor information is accessed. In order to optimize the latter, we introduce an information quality metric and a mathematical model based on Markov chains, which are compared performance-wise to a heuristic approach for finding this parameter. This information quality metric is called mismatch probability, mmPr, and is used to express quantitatively the information accuracy in a given scenario. Lastly, measurements of different communication technologies have been performed in order to carry out the analysis in a practically relevant scenario with respect to the communication network delays. These measurements are done in regard to packet loss and communication delays, and the simulations are rerun using either the traces from the measurements or scenarios constructed from the delay parameters.https://doi.org/10.1155/2016/5936235 |
| spellingShingle | Jacob Madsen Mislav Findrik Tatiana Madsen Hans-Peter Schwefel Optimizing Data Access for Wind Farm Control over Hierarchical Communication Networks International Journal of Distributed Sensor Networks |
| title | Optimizing Data Access for Wind Farm Control over Hierarchical Communication Networks |
| title_full | Optimizing Data Access for Wind Farm Control over Hierarchical Communication Networks |
| title_fullStr | Optimizing Data Access for Wind Farm Control over Hierarchical Communication Networks |
| title_full_unstemmed | Optimizing Data Access for Wind Farm Control over Hierarchical Communication Networks |
| title_short | Optimizing Data Access for Wind Farm Control over Hierarchical Communication Networks |
| title_sort | optimizing data access for wind farm control over hierarchical communication networks |
| url | https://doi.org/10.1155/2016/5936235 |
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