DocumentCode :
647850
Title :
Adequacy and economy analysis of distribution systems integrated with Electric Energy Storage and Renewable Energy Resources
Author :
Yixing Xu ; Singh, Chaman
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
fYear :
2013
fDate :
21-25 July 2013
Firstpage :
1
Lastpage :
1
Abstract :
Summary form only given. The integration of Renewable Energy Resources (RER) into an existing distribution system is an important topic in dealing with energy challenge the world is facing. With rapid development of Electric Energy Storage (EES) technologies, there is a growing interest in integrating both EES and RER into power systems to improve their reliability and economy. In this paper, the adequacy and economy of distribution systems integrated with both EES and RER are assessed. A novel Model Predictive Control (MPC)-based operation strategy is presented to minimize distribution system energy purchasing cost by coordinating multiple power supplies from EES, RER and external grid. An islanding operation is implemented to improve the distribution system reliability and reduce customer interruption cost. A reliability and economy assessment framework based on sequential Monte Carlo method integrated with the MPC-based operation and islanding operation is proposed. Case studies are conducted to demonstrate the reliability and economy improvement by implementing the proposed operation strategies together with integration of EES and RER, and also investigate how EES capacity, power limit, and wind turbine generation capacity affect system reliability and economy.
Keywords :
Monte Carlo methods; distributed power generation; energy storage; power distribution control; power distribution economics; power distribution reliability; predictive control; renewable energy sources; EES technologies; MPC-based operation strategy; Monte Carlo method; RER; adequacy analysis; customer interruption cost reduction; distribution system energy purchasing cost minimization; distribution system reliability; economy analysis; economy assessment framework; electric energy storage; islanding operation; model predictive control-based operation strategy; power limit; renewable energy resources; wind turbine generation; Computers; Educational institutions; Energy storage; Power system reliability; Reliability; Renewable energy sources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
ISSN :
1944-9925
Type :
conf
DOI :
10.1109/PESMG.2013.6672396
Filename :
6672396
Link To Document :
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