Title :
A capacity optimization method for hybrid energy storage system considering SOC and efficiency
Author :
Xiao, Jun ; Liang, H.S. ; Yu, Joey C. ; Zhang, Peng ; Wang, X.D. ; Yuan, S.Q.
Author_Institution :
Key Lab. of Smart Grid of Minist. of Educ., Tianjin Univ., Tianjin, China
Abstract :
The introduction of hybrid energy storage can improve the tie line power of the micro grid. This paper proposes a capacity optimization method of hybrid energy storage system in order to optimize the micro grid tie line power. Firstly, the capacity optimization method for hybrid energy storage is modelled, and the net present value is chosen as the objective function. Then, the problem of hybrid energy storage power allocation is transformed into the problem of determining the frequency of the optimal boundary between different compensation frequency bands, and the genetic algorithm is used to solve this model, after which the optimal capacity of hybrid energy storage is calculated. Finally, a case of a micro grid system in Tianjin eco city shows the effectiveness of the method.
Keywords :
distributed power generation; energy storage; genetic algorithms; SOC; Tianjin eco city; capacity optimization method; compensation frequency bands; genetic algorithm; hybrid energy storage system; microgrid system; microgrid tie line power; objective function; power allocation; boundary frequency; capacity optimization; genetic algorithm; hybrid energy storage;
Conference_Titel :
Renewable Power Generation Conference (RPG 2013), 2nd IET
Conference_Location :
Beijing
Electronic_ISBN :
978-1-84919-758-8
DOI :
10.1049/cp.2013.1760