DocumentCode :
2344352
Title :
An economic analysis model for the energy storage systems in a deregulated market
Author :
Leou, Rong-Ceng
Author_Institution :
Dept. of Electr. Eng., Cheng Shiu Univ., Kaohsiung
fYear :
2008
fDate :
24-27 Nov. 2008
Firstpage :
744
Lastpage :
749
Abstract :
Recent developments and advances in energy storage technologies are making the application of energy storage technologies a viable solution to power applications. The energy storage systems can store energy previously, and then release it in the proper time. Due to their flexibility, it is suitable to apply this technology to deregulated power markets. Therefore, this paper will build the economic analysis model for the energy storage systems in a deregulated power market. The costs including installing energy storage systems and operation & maintenance expense and the revenues containing energy price arbitrage, reducing transmission access cost, and deferring facility investment are considered in this paper. All these factors are evaluated by present worth value. Due to complexity of this problem, this paper proposes a method combining the genetic algorithm with linear program (GALP) to determine the best capacity and operating status of the energy storage system.
Keywords :
energy storage; genetic algorithms; linear programming; power markets; power system economics; power system planning; deregulated market; economic analysis model; energy storage systems; facility investment; genetic algorithm; linear programming; transmission access cost; Costs; Electronic switching systems; Energy storage; Genetic algorithms; Power conversion; Power generation; Power generation economics; Power markets; Power system economics; Power system modeling; Energy storage systems; deregulated power market; genetic algorithm; linear program; transmission access cost;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sustainable Energy Technologies, 2008. ICSET 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1887-9
Electronic_ISBN :
978-1-4244-1888-6
Type :
conf
DOI :
10.1109/ICSET.2008.4747105
Filename :
4747105
Link To Document :
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