@CONFERENCE{Giuseppi20193365,
author={Giuseppi, A. and De Santis, E. and Di Giorgio, A.},
title={Model predictive control of energy storage systems for power regulation in electricity distribution networks},
journal={Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics},
year={2019},
volume={2019-October},
pages={3365-3370},
doi={10.1109/SMC.2019.8914059},
art_number={8914059},
abstract={This paper proposes a control strategy for an Energy Storage System (ESS) installed on a secondary substation of an electricity distribution line in order to mitigate power variations with respect to the day-ahead planning caused by renewable energy sources on the distribution line.In particular, the aim of the controller is to keep the power profile of at primary substations close to a reference profile foreseen on a day-ahead basis while guaranteeing the stable operation of its ESS, in terms of their state-of-charge dynamics. The inclusion of the ESS contribution to the network operation is attained by the integration of properly defined power flow constraints in a Model Predictive Control Framework. The proposed approach has been validated through numerical simulations, representative of real operative scenarios. © 2019 IEEE.},
keywords={Data storage equipment;  Electric energy storage;  Electric load flow;  Electric power system control;  Electric utilities;  Energy policy;  Model predictive control;  Renewable energy resources, Control strategies;  Electricity distribution;  Electricity distribution networks;  Energy storage systems;  Network operations;  Power regulation;  Renewable energy source;  Stable operation, Electric power system planning},
document_type={Conference Paper},
}

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