The paper proposes a methodology for the optimal dispatch of energy sources in hybrid and isolated energy systems. The proposed approach is based on the formulation and solution of a nonlinear discrete optimization problem aimed at optimizing input and output time trajectories for a set of combined generating and storage technologies. Loads and interruptible loads are among controlled variables, and are modeled according to their interruption costs. The approach is general enough to be applied to any hybrid system configuration and was developed having in mind the complex hybrid system architectures comprising several competing storage technologies (battery, pumping, and hydrogen). Test results are aimed at showing the feasibility of the proposed methodology, comparing optimal trajectories to suboptimal system behavior given by load-following strategies.
Predictive Dispatch Across Time of Hybrid Isolated Power Systems / Bruno, S.; Dassisti, Michele; LA SCALA, Massimo; Chimienti, M.; Cignali, C.; Palmisani, E.. - In: IEEE TRANSACTIONS ON SUSTAINABLE ENERGY. - ISSN 1949-3029. - 5:3(2014), pp. 738-746. [10.1109/TSTE.2013.2295428]
Predictive Dispatch Across Time of Hybrid Isolated Power Systems
Bruno, S.;DASSISTI, Michele;LA SCALA, Massimo;
2014-01-01
Abstract
The paper proposes a methodology for the optimal dispatch of energy sources in hybrid and isolated energy systems. The proposed approach is based on the formulation and solution of a nonlinear discrete optimization problem aimed at optimizing input and output time trajectories for a set of combined generating and storage technologies. Loads and interruptible loads are among controlled variables, and are modeled according to their interruption costs. The approach is general enough to be applied to any hybrid system configuration and was developed having in mind the complex hybrid system architectures comprising several competing storage technologies (battery, pumping, and hydrogen). Test results are aimed at showing the feasibility of the proposed methodology, comparing optimal trajectories to suboptimal system behavior given by load-following strategies.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.