LMI based approach for power flow analysis with uncertain power injection
In: Proceedings of the 9th IFAC Symposium on Robust Control Design 9th IFAC ROCOND'18 9th IFAC ROCOND'18, Sep 2018, Florianópolis, Brazil. pp.310-315, ⟨10.1016/j.ifacol.2018.11.125⟩; (2018-09-03)
Online
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Zugriff:
International audience; This paper investigates the uncertain power flow analysis in distribution networks within the context of renewable power resources integration such as wind and solar power. The analysis aims to bound the worst-case voltage magnitude in any node of the network for a given uncertain power generation scenario. The major difficulty of this problem is the non-linear aspect of power flow equations. The proposed approach does not require the linearization of these equations and formulates the problem as an optimization problem with polynomial constraints. A new tool to investigate the feasibility of such problems is presented and it is obtained as an extension of the S−procedure, a fundamental result in robustness analysis. A solution to the uncertain power flow analysis problem is proposed using this new tool. The different obtained results are expressed as LMI optimization problems which guaranties an efficient numerical resolution as it will be demonstrated through an illustrative example.
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LMI based approach for power flow analysis with uncertain power injection
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| Autor/in / Beteiligte Person: | Korniienko, Anton ; Morel, Florent ; Laib, Khaled ; Scorletti, Gérard ; Ampère, Département Méthodes pour l'Ingénierie des Systèmes (MIS) ; (AMPERE), Ampère ; École Centrale de Lyon (ECL) ; Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL) ; Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon) ; Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-École Centrale de Lyon (ECL) ; Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) ; Ampère, Département Energie Electrique (EE) |
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| Quelle: | Proceedings of the 9th IFAC Symposium on Robust Control Design 9th IFAC ROCOND'18 9th IFAC ROCOND'18, Sep 2018, Florianópolis, Brazil. pp.310-315, ⟨10.1016/j.ifacol.2018.11.125⟩; (2018-09-03) |
| Veröffentlichung: | HAL CCSD, 2018 |
| Medientyp: | unknown |
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