DocumentCode :
1755868
Title :
Power System Reliability Impact of Energy Storage Integration With Intelligent Operation Strategy
Author :
Yixing Xu ; Singh, Chaman
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
Volume :
5
Issue :
2
fYear :
2014
fDate :
41699
Firstpage :
1129
Lastpage :
1137
Abstract :
Electric power industry is experiencing a movement from the existing conventional electric grid to a more reliable, efficient and secure smart grid. In order to achieve these goals, components such as energy storage will be included, and potentially in large scale. Many feasible applications of energy storage in power systems have been investigated. The major benefits of energy storage include electric energy time-shift, frequency regulation and transmission congestion relief. In this paper, we focus on the reliability improvement of the bulk power system brought by the utilization of energy storage in the local distribution systems integrated with renewable energy generation. An intelligent operation strategy for energy storage which improves reliability considering the renewable energy integration is presented. The smart grid communication and control network is utilized to implement the proposed energy storage operation. A bulk power system reliability evaluation framework is proposed to study the reliability impact brought by the energy storage integration and operation. A detailed case study and sensitivity analysis is performed to demonstrate the effectiveness of the presented operation strategy and evaluation framework, and to provide valuable insights on the power system reliability impact derived from the energy storage integration.
Keywords :
electricity supply industry; energy storage; frequency control; power system security; power transmission reliability; renewable energy sources; sensitivity analysis; smart power grids; electric energy time-shift; electric grid; electric power industry; energy storage integration; frequency regulation; intelligent operation strategy; power system reliability; power transmission congestion; renewable energy generation; sensitivity analysis; smart grid security; Energy storage; Load modeling; Power markets; Power system reliability; Reliability; Renewable energy sources; Bulk power system; electric energy storage; model predictive control; reliability; renewable energy resources;
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2013.2278482
Filename :
6583282
Link To Document :
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