DocumentCode :
3752029
Title :
A receding horizon approach for the power flow management with renewable energy and energ storage systems
Author :
Alessio Maffei;Seshadhri Srinivasan;Luigi Iannelli;Luigi Glielmo
Author_Institution :
Department of Engineering, University of Sannio, Benevento, Italy
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
Optimal operation of energy grids integrated with renewable energy sources (RES) and energy storage systems (ESS) is challenging due to intermittencies in generation and dynamics of the storage. This investigation presents a multi-period alternate current optimal power flow (ACOPF) algorithm for reducing the grid operating cost. The proposed approach uses a receding horizon strategy that solves a non-linear optimization problem during each period by using forecasts and storage dynamics. As a result, the proposed algorithm can optimize the grid operations considering the intermittent renewable generation and storage dynamics. The multi-period ACOPF is illustrated on a Norwegian distribution network with 85 buses and our results illustrate the suitability of the multi-period approach to optimize the grid operations with RES and ESS.
Keywords :
"Decision support systems","Cost function"
Publisher :
ieee
Conference_Titel :
AEIT International Annual Conference (AEIT), 2015
Type :
conf
DOI :
10.1109/AEIT.2015.7415232
Filename :
7415232
Link To Document :
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