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Smart Energy Research: At the Crossroads of Engineering, Economics, and Computer Science 3rd and 4th IFIP TC 12 International Conferences SmartER Europe 2016 and 2017 Essen, Germany, February 16-18, 2016 and February 9, 2017 |
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Conference papers
Self-detection of New Photovoltaic Power Plants Using a Low Voltage Smart Grid System
Abstract : A rising amount of today’s distribution grids are equipped with smart grid systems to face the problems arising from the increasing use of decentralized and renewable energy sources. In comparison to conventional reinforced grids smart grid systems need to be maintained to stay up to date. Especially the installed photovoltaic (PV) power is a very important parameter for the system. Self-learning smart grid systems would reduce the maintenance efforts. A huge step towards this is a self-detection of new PV power plants in the grid. In this paper three methods to detect unknown PV plants in distribution grids are introduced. They are tested and validated in a use case. Additionally the influence of undetected PV power plants to the accuracy of the grid state identification is considered. Because of the huge impact of different factors only rudimentary results are presented and further investigations are focused.
Cited literature [2 references]
https://hal.inria.fr/hal-01691199
Contributor : Hal Ifip <>
Submitted on : Tuesday, January 23, 2018 - 4:55:55 PM
Last modification on : Tuesday, January 23, 2018 - 4:59:23 PM
Document(s) archivé(s) le : Thursday, May 24, 2018 - 2:39:48 PM
Contributor : Hal Ifip <>
Submitted on : Tuesday, January 23, 2018 - 4:55:55 PM
Last modification on : Tuesday, January 23, 2018 - 4:59:23 PM
Document(s) archivé(s) le : Thursday, May 24, 2018 - 2:39:48 PM
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450780_1_En_4_Chapter.pdf
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Distributed under a Creative Commons Attribution 4.0 International License
