INFORMS Anual Meeting - INFORMS 2015, Philadelphia (United States of America). 01-04 noviembre 2015
Summary:
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.
Publication date: November 2015.
Citation:
Wogrin, S., Galbally, D., Reneses, J., Optimizing storage operations in longer-term power system models, INFORMS Anual Meeting - INFORMS 2015, Philadelphia (United States of America). 01-04 November 2015.
IIT-15-174A_abstract
