Stochastic Dual Dynamic Programming for Operation of DER Aggregators Under Multi-Dimensional Uncertainty

The operation of aggregators of distributed energy resources (DER) is highly complex, since it entails the optimal coordination of a diverse portfolio of DER under multiple sources of uncertainty. The large number of possible stochastic realizations that arise can lead to complex operational models...

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Vydané v:	IEEE transactions on sustainable energy Ročník 10; číslo 1; s. 459 - 469
Hlavní autori:	Fatouros, Panagiotis, Konstantelos, Ioannis, Papadaskalopoulos, Dimitrios, Strbac, Goran
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.01.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Aggregator Autoregressive models Computational modeling Computer applications Computer simulation Computing time distributed energy resources Dynamic programming Energy resources Energy sources Monte Carlo simulation multidimensional uncertainty Real time Real-time systems Schedules stochastic dual dynamic programming Stochastic models Stochastic processes Uncertainty vector autoregressive modeling Wind power generation
ISSN:	1949-3029, 1949-3037
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