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.
INFORMS Anual Meeting - INFORMS 2015, Philadelphia, Pennsylvania (United States of America). 01-04 November 2015
Publication date: November 2015.
S. Wogrin, D. Galbally, J. Reneses, Optimizing storage operations in longer-term power system models, INFORMS Anual Meeting - INFORMS 2015. Filadelfia, United States of America, 01-04 November 2015