An OMNeT++ Model of the Control System of large-scale Concentrator Photovoltaic Power Plants
- The communication system of a large-scale concentrator photovoltaic power plant is very challenging. Manufacturers are building power plants having thousands of sun tracking systems equipped with communication and distributed over a wide area. Research is necessary to build a scalable communication system enabling modern control strategies. This poster abstract describes the ongoing work on theThe communication system of a large-scale concentrator photovoltaic power plant is very challenging. Manufacturers are building power plants having thousands of sun tracking systems equipped with communication and distributed over a wide area. Research is necessary to build a scalable communication system enabling modern control strategies. This poster abstract describes the ongoing work on the development of a simulation model of such power plants in OMNeT++. The model uses the INET Framework to build a communication network based on Ethernet. First results and problems of timing and data transmission experiments are outlined. The model enables research on new communication and control approaches to improve functionality and efficiency of power plants based on concentrator photovoltaic technology.…
Document Type: | Conference Proceeding |
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Conference Type: | Konferenzartikel |
Zitierlink: | https://opus.hs-offenburg.de/1372 | Bibliografische Angaben |
Title (English): | An OMNeT++ Model of the Control System of large-scale Concentrator Photovoltaic Power Plants |
Conference: | SimuTools '13: 6th International ICST Conference on Simulation Tools and Techniques, Cannes, France, March 5-7, 2013 |
Author: | Pascal Benoit, Simon Fey, Gregor Rohbogner, Niklas Kreifels, Robert Kohrs |
Year of Publication: | 2013 |
Place of publication: | Brüssel |
First Page: | 338 |
Last Page: | 341 |
Parent Title (English): | SimuTools '13: Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques |
ISBN: | 978-1-4503-2464-9 |
URL: | https://dl.acm.org/doi/10.5555/2512734.2512783 |
URN: | https://urn:nbn:de:0011-n-2756252 |
Language: | English | Inhaltliche Informationen |
Institutes: | Fakultät Elektrotechnik und Informationstechnik (E+I) (bis 03/2019) |
Institutes: | Bibliografie |
GND Keyword: | Kraftwerk; Photovoltaik | Formale Angaben |
Open Access: | Closed Access |
Licence (German): | Urheberrechtlich geschützt |