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Theses

Intégration des incertitudes liées aux prévisions de consommation et production à la gestion prévisionnelle d'un réseau de distribution

Abstract : The voltage profiles inside the network and power flows at the transport-distribution interface are modified under the massive insertion of renewable sources in distribution grids. The system’s uncertainties cannot be handled by local controllers which parameters are tuned at the actuator installation stage. A solution, widely accepted in the literature, consists of achieving a centralized optimization of the actuators references (distributed generators reactive powers, reference voltage of the On Load Tap Changer, capacitor banks reactive power). Within this framework, a supervisor computes all references at the same time and delivers the references to each actuators, which requires an efficient and reliable communication system.The main contribution of the thesis is to design an alternative approach which keeps the local control structures which settings will be updated on an hourly basis. The optimization relies on a stochastic representation of the grid that accounts for the On Load Tap Changer uncertainties and day ahead forecasts of the productions and consumptions. It is shown that every variable of the system can be represented by Gaussian or sum of truncated Gaussian variables. A stochastic optimization allows to select the controllers settings that minimize overvoltages and control efforts, without using time-consuming algorithms such as Monte-Carlo methods. This work will demonstrate that an appropriate management of uncertainties spares unnecessary and costly oversizing
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Submitted on : Monday, May 20, 2019 - 3:43:28 PM
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  • HAL Id : tel-02134523, version 1

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Jérôme Buire. Intégration des incertitudes liées aux prévisions de consommation et production à la gestion prévisionnelle d'un réseau de distribution. Autre. Ecole Centrale de Lille, 2018. Français. ⟨NNT : 2018ECLI0017⟩. ⟨tel-02134523⟩

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