Abstract
The digital models of windfarms provide a useful tool when monitoring and controlling wind generators digitally and remotely, allowing its maintenance and optimization, thus reducing the costs due to downtime and increasing the reliability of the elements that intervene in the conversion of wind energy to electric power. These aspects acquire even greater relevance when it comes to remote locations such as offshore wind farms. In this sense, this paper describes a MV cable model aimed at emulating its behavior and lifetime in order to carry out a preventive maintenance. The model is based on a combination of a dynamic MV cable model and a PCHIP-based interpolation algorithm, which have been developed in open source software OpenModelica.
| Original language | English |
|---|---|
| Title of host publication | ICCEP 2019 - 7th International Conference on Clean Electrical Power |
| Subtitle of host publication | Renewable Energy Resources Impact |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 617-622 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781728113562 |
| DOIs | |
| Publication status | Published - Jul 2019 |
| Event | 7th International Conference on Clean Electrical Power, ICCEP 2019 - Otranto, Italy Duration: 2 Jul 2019 → 4 Jul 2019 |
Publication series
| Name | ICCEP 2019 - 7th International Conference on Clean Electrical Power: Renewable Energy Resources Impact |
|---|
Conference
| Conference | 7th International Conference on Clean Electrical Power, ICCEP 2019 |
|---|---|
| Country/Territory | Italy |
| City | Otranto |
| Period | 2/07/19 → 4/07/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- cable
- digital twin
- modelling
- remaining lifetime
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