DocumentCode :
3394647
Title :
Intelligent Control Strategy for Energy Storage in Distribution Systems
Author :
Yixing Xu ; Singh, Chaman
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
fYear :
2012
fDate :
27-29 March 2012
Firstpage :
1
Lastpage :
4
Abstract :
With the rapid development of energy storage technologies, there is a growing interest in integrating these devices into distribution systems. Energy storage can be utilized to provide various benefits to the distribution systems. In this paper, the reliability and economic benefits (i.e. energy cost) are the focus. Different control strategies of energy storage have corresponding reliability and economic impacts on the systems. An intelligent Model Predictive Control (MPC)-based control strategy for energy storage is first introduced and compared with a conventional standby backup control strategy. Then a modified MPC-based control strategy is proposed to more effectively utilize limited energy storage capacity to improve system reliability and save energy cost. Simulation results are shown to illustrate different control strategies and demonstrate benefits.
Keywords :
energy storage; intelligent control; power distribution control; power distribution economics; power distribution reliability; predictive control; MPC-based control strategy; conventional standby backup control strategy; distribution systems; economic benefits; energy storage technology; intelligent model predictive control based control strategy; reliability; Energy storage; Load modeling; Power markets; Power system reliability; Reliability; System-on-a-chip;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
ISSN :
2157-4839
Print_ISBN :
978-1-4577-0545-8
Type :
conf
DOI :
10.1109/APPEEC.2012.6307441
Filename :
6307441
Link To Document :
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