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Micro-Hybrid Energy Storage System Capacity Based on Genetic Algorithm Optimization Configuration Research

摘要


The energy storage system plays an important role in the utilization of renewable energy. However, traditional battery energy storage is faced with the disadvantages of short life and low power density. The hybrid energy storage system is established by combining the energy storage characteristics of ultra-capacitor and battery. Study two kinds of energy storage element to charge and discharge management strategy, with full life cycle cost of energy storage device as the optimization goal, set up comprehensive indexes such as power, capacity constraints as constraint conditions of constraint model, this paper proposes a hybrid energy storage system capacity based on genetic algorithm optimization configuration method and is verified by an example.

參考文獻


Fatemeh Jahanbani Ardakani, Gholamhossein Riahy, Mehrdad Abedi. Design of an optimum hybrid renewable energy system considering reliability indices[C].Electrical Engineering (ICEE), 2010 18th Iranian Conference on , 2010:842-847.
Smith T A, Mars J P., Turner G A. Usingsuper capacitors to improve battery performance[C].The 33rd Annual IEEE Power Electronics Specialists Conerence. Sydeny, MSW, 2002:124-128.
Sauer D U,Wenzl H. Comparison of different approaches for lifetime prediction of electrochemical sysmes-Using lead acid batteries as example[J]. Journal of Power Sources,2008,176(2):477-483.
Manwell J F, Cronin T, Lunsager P, etal. Lifetime modeling of lead acid batteries[R].Denmark: Riso National Laboratary, 2005.
LI Jianlin, MA Huimeng, HUI Dong. Present developmentcondition and trends of energy storage technology in the integrationof distributed renewable energy [J]. Transactions of ChinaElectrotechnical Society,2016,31(14):1-10,20.

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