A novel stochastic method to dispatch microgrids using Monte Carlo scenarios

•Novel stochastic optimization to enable fast rolling-horizon procedures.•Classification of methodologies as Aggregating-Rule-based Stochastic Optimization.•Decoupling a N-scenario problem into N deterministic sub-problems.•Cost-based aggregator to select the final dispatching strategy.•Numerical ca...

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Veröffentlicht in:	Electric power systems research 2019-10, Vol.175, p.105896, Article 105896
Hauptverfasser:	Fioriti, Davide, Poli, Davide
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer simulation Consumer goods Distributed generation Electric power grids Electricity distribution Hybrid power systems Improved Aggregating-Rule-based Stochastic Optimization (I-ARSO) Minigrids Monte Carlo scenarios Monte Carlo simulation Operating costs Resource scheduling Scenario decomposition Scheduling algorithms Smart grid technology Stochastic models Stochastic optimization
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