DocumentCode :
1843688
Title :
Financially optimized scheduling of electric energy storage in presence of renewable energy resources
Author :
Narimani, A. ; Nourbakhsh, G. ; Ledwich, G.F. ; Walker, G.R. ; Ghasemi, N.
Author_Institution :
School of Electrical Engineering and Computer Science, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia
fYear :
2015
fDate :
22-25 June 2015
Firstpage :
1
Lastpage :
5
Abstract :
The increasing integration of Renewable Energy Resources (RER) and the role of Electric Energy Storage (EES) in distribution systems has created interest in using energy management strategies. EES has become a suitable resource to manage energy consumption and generation in smart grid. Optimize scheduling of EES can also maximize retailer´s profit by introducing energy time-shift opportunities. This paper proposes a new strategy for scheduling EES in order to reduce the impact of electricity market price and load uncertainty on retailers´ profit. The proposed strategy optimizes the cost of purchasing energy with the objective of minimizing surplus energy cost in hedging contract. A case study is provided to demonstrate the impact of the proposed strategy on retailers´ financial benefit.
Keywords :
Contracts; Energy storage; Forecasting; Generators; Optimization; Power systems; Uncertainty; Electric Energy storage; Energy costs; Optimization; Renewable energy resource;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics for Distributed Generation Systems (PEDG), 2015 IEEE 6th International Symposium on
Conference_Location :
Aachen, Germany
Type :
conf
DOI :
10.1109/PEDG.2015.7223061
Filename :
7223061
Link To Document :
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