DocumentCode :
574574
Title :
Control of battery storage for wind energy systems
Author :
Borhan, H. ; Rotea, M.A. ; Viassolo, D.
Author_Institution :
Dept. of Mech. Eng., Univ. of Texas at Dallas, Richardson, TX, USA
fYear :
2012
fDate :
27-29 June 2012
Firstpage :
1342
Lastpage :
1349
Abstract :
This paper presents an optimization-based control strategy for the power management of a wind farm with battery storage. The strategy seeks to minimize the error between the power delivered by the wind farm with battery storage and the power demand from an operator. In addition, the strategy attempts to maximize battery life. The control strategy has two main stages. The first stage produces a family of control solutions that minimize the power error subject to the battery constraints over an optimization horizon. These solutions are parameterized by a given value for the state of charge at the end of the optimization horizon. The second stage screens the family of control solutions to select one attaining an optimal balance between power error and battery life. The battery life model used in this stage is a weighted Amp-hour (Ah) throughput model. The control strategy is modular, allowing for more sophisticated optimization models in the first stage, or more elaborate battery life models in the second stage. The strategy is implemented in real-time in the framework of Model Predictive Control (MPC).
Keywords :
battery storage plants; optimisation; power generation control; power system management; predictive control; wind power plants; Ah throughput model; MPC; battery constraints; battery life maximization; battery storage control; model predictive control; optimization horizon; optimization-based control strategy; power error minimization; power management; weighted Amp-hour throughput model; wind energy systems; wind farm; Batteries; Equations; Integrated circuit modeling; Mathematical model; Optimization; System-on-a-chip; Wind farms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
ISSN :
0743-1619
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2012.6315160
Filename :
6315160
Link To Document :
بازگشت