Power systems have been historically designed at a time when the production was<p>centralized and the electricity had to be transmitted to the loads from the closest power<p>plant. Nowadays, there is an increasing integration of decentralized and intermittent pro-<p>duction. Moreover, the energy market coupling has enabled the transfer of electric power<p>for economical purposes. Also, former isolated power systems are now interconnected for<p>reliability and financial reasons.<p>All of these changes make difficult to predict the future behavior of the grid. Studies<p>are done in order to plan for the future needs of the system. However, building new in-<p>frastructures takes time and it is expected that these needs will not be completely fulfilled<p>in all the parts of the grid. Therefore, transmission of active power could be limited by<p>the existing infrastructure. For example, the presence of inter-area oscillations is often<p>the limiting factor when a high active power is transmitted on a long transmission line<p>between two groups of generators. Since higher levels of active power are exchanged on<p>longer distances, problems of inter-area oscillations may arise in power systems previously<p>not affected by this phenomenon.<p>In this work, a measurement-based approach, able to predict in the short-term the<p>future behavior of oscillations, is presented. This approach is complementary to the<p>long-term planning of the grid.<p>The mandatory first step towards a measurement-based approach is to have the ability<p>to extract useful information among a huge quantity of data. To face this issue, some<p>comparisons of data mining algorithms are performed. The proposed method combines<p>two decision tree algorithms to obtain both prediction accuracy and comprehensibility.<p>The second required step for building a measurement-based model is to take into<p>account the limitations of the measurements. Two types of wide area measurements are<p>used, synchronized measurements from PMUs and traditional unsynchronized data from<p>the SCADA/EMS system. Oscillation monitoring using PMUs is especially of interest<p>and an approach is presented to post-process damping estimates. This post-processing<p>method consists in a noise reduction technique followed by a damping change detection<p>algorithm.<p>Finally, the method, combining these two steps, is implemented to analyze the Con-<p>tinental European grid. This implementation takes place in the context of the European<p>project Twenties. The results, using several months of measurements, are described in<p>detail before being discussed. / Doctorat en Sciences de l'ingénieur / info:eu-repo/semantics/nonPublished
| Identifer | oai:union.ndltd.org:ulb.ac.be/oai:dipot.ulb.ac.be:2013/209368 |
| Date | 25 November 2013 |
| Creators | Antoine, Olivier |
| Contributors | Maun, Jean Claude, Kinnaert, Michel, Vanfretti, Luigi, Warichet, Jacques, Gyselinck, Johan, McNabb, Patrick |
| Publisher | Universite Libre de Bruxelles, Université libre de Bruxelles, Ecole polytechnique de Bruxelles – Electricien, Bruxelles |
| Source Sets | Université libre de Bruxelles |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/doctoralThesis, info:ulb-repo/semantics/doctoralThesis, info:ulb-repo/semantics/openurl/vlink-dissertation |
| Format | No full-text files |
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