Impacts of optimal energy storage deployment and network reconfiguration on renewable integration level in distribution systems

•A dynamic and multi-objective stochastic mixed integer linear programming model is developed.•A new mechanism to quantify the impacts of network flexibility and ESS deployments on RES integration is presented.•Optimal integration of ESSs dramatically increases the level and the optimal exploitation...

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Veröffentlicht in:	Applied energy Jg. 185; H. P1; S. 44 - 55
Hauptverfasser:	Santos, Sérgio F., Fitiwi, Desta Z., Cruz, Marco R.M., Cabrita, Carlos M.P., Catalão, João P.S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United Kingdom Elsevier Ltd 01.01.2017 Elsevier
Schlagworte:	carbon footprint case studies Distributed generation electricity energy Energy storage fossil fuels linear programming Network reinforcement Network switching Renewable energy sources Stochastic mixed integer linear programming Renewable energy sources Network reinforcement Distributed generation Network switching Energy storage Stochastic mixed integer linear programming
ISSN:	0306-2619, 1872-9118
Online-Zugang:	Volltext
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