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, Philadelphia, Pennsylvania (United States of America). 01 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