Conference paper Open Access

MODEL PREDICTIVE CONTROLBASED ENERGY MANAGEMENT OPTIMIZATION FOR A EUROPEAN MICROGRID IMPLEMENTATION

Gonca GÜRSES-TRAN; Dominik MILDT; Michael HIRST; Marco CUPELLI; Antonello MONTI


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    <subfield code="a">Microgrid control, model predictive control, rule-based control</subfield>
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    <subfield code="d">June 2019</subfield>
    <subfield code="a">25thInternational Conference on Electricity Distribution, 2019 (Cired conference 2019)</subfield>
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    <subfield code="u">RWTH Aachen University</subfield>
    <subfield code="a">Dominik MILDT</subfield>
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    <subfield code="u">RWTH Aachen University</subfield>
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    <subfield code="c">2019-06-03</subfield>
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    <subfield code="u">RWTH Aachen University</subfield>
    <subfield code="a">Gonca GÜRSES-TRAN</subfield>
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    <subfield code="a">MODEL PREDICTIVE CONTROLBASED ENERGY MANAGEMENT OPTIMIZATION FOR A EUROPEAN MICROGRID IMPLEMENTATION</subfield>
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    <subfield code="a">Interactions between automated energy systems and Flexibilities brought by energy market players</subfield>
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    <subfield code="a">&lt;p&gt;This paper presents a case study oftwo approaches for optimal microgrid control. The simulations are based on a real test site located in Sweden. One of the two presented models replicates the actual implemented rule based control(RBC)that is currently realized on the test site. The second model applies a model predictive control (MPC) scheme assuming the same system and boundary conditions. The performance is assessedin terms of maximizing the islanding time, signifying the timethe microgrid(MG)can disconnect from the remaining distribution grid.&lt;/p&gt;</subfield>
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