Application of Stochastic Dual Dynamic Programming to the Real-Time Dispatch of Storage under Renewable Supply Uncertainty

This paper presents a multi-stage stochastic programming formulation of transmission-constrained economic dispatch subject to multi-area renewable production uncertainty, with a focus on optimizing the dispatch of storage in real-time operations. This problem is resolved using stochastic dual dynami...

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Veröffentlicht in:IEEE Power & Energy Society General Meeting S. 1
Hauptverfasser: Papavasiliou, Anthony, Mou, Yuting, Cambier, Leopold, Scieur, Damien
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.08.2018
Schlagworte:
Dynamic programming
Econometrics
Operations research
Programming
Real-time systems
Uncertainty
ISSN:1944-9933
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Zusammenfassung:This paper presents a multi-stage stochastic programming formulation of transmission-constrained economic dispatch subject to multi-area renewable production uncertainty, with a focus on optimizing the dispatch of storage in real-time operations. This problem is resolved using stochastic dual dynamic programming. The applicability of the proposed approach is demonstrated on a realistic case study of the German power system calibrated against the solar and wind power integration levels of 2013-2014, with a 24-hour horizon and 15-minute time step. The value of the stochastic solution relative to the cost of a deterministic policy amounts to 1.1%, while the value of perfect foresight relative to the cost of the stochastic programming policy amounts to 0.8%. The relative performance of various alternative real-time dispatch policies is analyzed, and the sensitivity of the results is explored.
ISSN:1944-9933
DOI:10.1109/PESGM.2018.8586426