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Home > Thèses et HDR > Thèses en 2022

25/10/2022 - Tanguy SIMON

by Laurent Krähenbühl - published on


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Tanguy Simon defends his PhD on Oct. 25, 2022 at 10:00AM.
Place : INSA de Lyon, bibliothèque Marie Curie, amphi Émilie du Châtelet (Villeurbanne).

Design and control of a power flow controller for low voltage direct current electric grids

Jury :
Rapporteurs : Xavier ROBOAM (Université de Toulouse 3 - Paul Sabatier), Giorgio VALMORBIDA (Université Saclay/CentraleSupélec)
Examinateur/trice : Pierre RIEDINGER (Université de Lorraine), Ionela PRODAN (Grenoble INP - Esisar)
Encadrement : Jean-François TRÉGOUËT, Hervé MOREL, Xuefang LIN-SHI (INSA de Lyon / Laboratoire Ampère)

Abstract :
The installation of distributed renewable energy generators such as photovoltaic panels on roofs as well as wind turbines in rural or industrial environments profoundly transforms the distribution networks. Thus, the power flows in the power lines of the network can be strongly modified or even reversed, so that some lines may become overloaded and in over or under voltage. In order to improve the flexibility of the networks and to solve these problems, it is appropriate to mesh the network on one hand and to switch from alternating current to direct current on the other. A direct current meshed network equipped with non-dispatchable generators (photovoltaic panels, wind turbines) requires emphpower flow controllers, that is, electronic devices capable of controlling the power circulating in each of the branches to which they are connected.

After choosing a converter architecture to fill in this function, we show that it can be modeled by a bilinear dynamic system with a polynomial output. In addition, in order to take into account the uncertainties of the network, we construct a model whose parameters are uncertain.

We then analyze the model and its physical limitations, and identify conditions of existence of equilibrium points, which allow us to identify the space in which uncertain parameters may exist.

We propose two new control laws for which the proofs of stability and robustness are obtained via the dynamic converter model. These two laws are compared with each other and with a conventional multivariable PI controller on an experimental test bench.

On a broader spectrum, this study proposes a method for the output regulation of uncertain nonlinear systems.

Keywords :
Control of uncertain nonlinear systems, power converters, robust control, DC microgrids