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A STUDY OF MODEL PREDICTIVE CONTROL APPLIED TO THE FRENCH DEMO OF INTERFLEX

Dominik MILDT; Marco CUPELLI; Antonello MONTI; Julien BRUSCHI; Thibault WAGNER; Christian DUMBS


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        <foaf:name>Dominik MILDT</foaf:name>
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    <dct:title>A STUDY OF MODEL PREDICTIVE CONTROL APPLIED TO THE FRENCH DEMO OF INTERFLEX</dct:title>
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    <dcat:keyword>Distributed Energy Resources, Islanding, Model Predictive Control</dcat:keyword>
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    <dct:description>&lt;p&gt;In the course ofthe 2020 Horizon project InterFlex,French distribution system operator(DSO)ENEDIS is building Nice Smart Valley, a demonstratorto test innovative solutions for distribution systems.In their first use case,the network of the L&amp;eacute;rins&amp;rsquo; islandsis equippedwith a variety of distributed energy resources (DERs) to investigate the combination of local storage systems and renewable generation, with specific focus on the temporary operation asafully autonomous island. This paper presents the application of apreviously developed model predictive control (MPC) based energy management system (EMS) to the demonstrator network under construction. Simulations show how the DERs can be used for different objectives like collective self-consumptionandmaximization of potential islanding time (PIT).&lt;/p&gt;</dct:description>
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