Abstract
In a rapidly changing power system the proper characterization of storage behavior becomes an increasingly important issue. We propose a new formulation to capture storage behavior in medium -and long -term power system models that use a load duration curve. In such models the chronology among individual hours is lost; our approach addresses related shortcomings and is able to accurately replicate hourly evolution of storage levels while keeping computational time tractable.
Originalsprache | englisch |
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Publikationsstatus | Veröffentlicht - 2015 |
Extern publiziert | Ja |
Veranstaltung | 2015 INFORMS Annual Meeting - Philadelphia, USA / Vereinigte Staaten Dauer: 1 Nov. 2015 → 4 Nov. 2015 |
Konferenz
Konferenz | 2015 INFORMS Annual Meeting |
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Land/Gebiet | USA / Vereinigte Staaten |
Ort | Philadelphia |
Zeitraum | 1/11/15 → 4/11/15 |