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.
|Published - 2015
|2015 INFORMS Annual Meeting - Philadelphia, United States
Duration: 1 Nov 2015 → 4 Nov 2015
|2015 INFORMS Annual Meeting
|1/11/15 → 4/11/15