DocumentCode :
104102
Title :
Predictive Dispatch Across Time of Hybrid Isolated Power Systems
Author :
Bruno, Sergio ; Dassisti, Michele ; La Scala, Massimo ; Chimienti, Michela ; Cignali, Claudio ; Palmisani, Ezio
Author_Institution :
Electr. & Electron. Dept., Polytech. Sch. of Bari, Bari, Italy
Volume :
5
Issue :
3
fYear :
2014
fDate :
Jul-14
Firstpage :
738
Lastpage :
746
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.
Keywords :
battery storage plants; load dispatching; optimisation; battery energy storage system; complex hybrid system architecture; discrete optimal control; hybrid energy system; hybrid isolated power system; hybrid system configuration; isolated energy system; nonlinear discrete optimization problem; predictive dispatch; Batteries; Generators; Hybrid power systems; Hydrogen; Interrupters; Optimization; Battery energy storage system (BESS); discrete optimal control (DOC); hybrid energy systems; isolated power systems; microgrids; renewable energy sources (RESs); storage systems;
fLanguage :
English
Journal_Title :
Sustainable Energy, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3029
Type :
jour
DOI :
10.1109/TSTE.2013.2295428
Filename :
6740841
Link To Document :
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