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Hybrid storage system sizing for minimum daily variability injection

Conference Paper


Abstract


  • Supercapacitors complement the limitations of battery storage technologies, and therefore, a battery-supercapacitor hybrid storage device (HSS) has established as a viable option for mitigating the renewable energy variability. For optimal sizing of both batteries and supercapacitors, batteries are treated as low-frequency variation mitigation device and supercapacitors as high-frequency variation mitigation device. However, the maximum amount of current injected or extracted from the battery for a given capacity rating is limited, failing which, supercapacitors would replace batteries to mitigate low-frequency variability. Both slow and fast varying components are defined respecting a cutoff frequency, and in this problem, the objective is to minimize the annualized cost of HSS with optimal cut-off frequency. The sizing of the HSS should also minimize the variability for a given statistical significance. The cut-off frequency is iterated over the solution space using mode pursuing sampling method to obtain the optima. The proposed method is illustrated with a sample dataset and results are discussed. Additionally, an additional problem where the frequency of operation of the supercapacitors is limited to two hours to limit the self-discharge rate of the supercapacitors is also discussed.

Publication Date


  • 2019

Citation


  • Majumder, S., Khaparde, S. A., Agalgaonkar, A. P., Perera, S., Kulkarni, S. V., & Ciufo, P. (2019). Hybrid storage system sizing for minimum daily variability injection. In Proceedings of 2019 IEEE Region 10 Symposium, TENSYMP 2019 (pp. 33-38). doi:10.1109/TENSYMP46218.2019.8971050

Scopus Eid


  • 2-s2.0-85079278184

Start Page


  • 33

End Page


  • 38

Abstract


  • Supercapacitors complement the limitations of battery storage technologies, and therefore, a battery-supercapacitor hybrid storage device (HSS) has established as a viable option for mitigating the renewable energy variability. For optimal sizing of both batteries and supercapacitors, batteries are treated as low-frequency variation mitigation device and supercapacitors as high-frequency variation mitigation device. However, the maximum amount of current injected or extracted from the battery for a given capacity rating is limited, failing which, supercapacitors would replace batteries to mitigate low-frequency variability. Both slow and fast varying components are defined respecting a cutoff frequency, and in this problem, the objective is to minimize the annualized cost of HSS with optimal cut-off frequency. The sizing of the HSS should also minimize the variability for a given statistical significance. The cut-off frequency is iterated over the solution space using mode pursuing sampling method to obtain the optima. The proposed method is illustrated with a sample dataset and results are discussed. Additionally, an additional problem where the frequency of operation of the supercapacitors is limited to two hours to limit the self-discharge rate of the supercapacitors is also discussed.

Publication Date


  • 2019

Citation


  • Majumder, S., Khaparde, S. A., Agalgaonkar, A. P., Perera, S., Kulkarni, S. V., & Ciufo, P. (2019). Hybrid storage system sizing for minimum daily variability injection. In Proceedings of 2019 IEEE Region 10 Symposium, TENSYMP 2019 (pp. 33-38). doi:10.1109/TENSYMP46218.2019.8971050

Scopus Eid


  • 2-s2.0-85079278184

Start Page


  • 33

End Page


  • 38