Design of A Simplified Hierarchical Bayesian Network for Residential Energy Storage Degradation

Khan K., Hossen T., Savasci A., Gauchia L., Paudyal S.

2019 IEEE Power and Energy Society General Meeting, PESGM 2019, Georgia, Amerika Birleşik Devletleri, 4 - 08 Ağustos 2019, cilt.2019-August identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 2019-August
  • Doi Numarası: 10.1109/pesgm40551.2019.8973603
  • Basıldığı Şehir: Georgia
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Anahtar Kelimeler: Batteries, Bayesian Networks, Probabilistic aging model, Residential, Smart Home
  • Abdullah Gül Üniversitesi Adresli: Hayır

Özet

In this paper a simplified hierarchical Bayesian network (BN) is developed to estimate residential energy storage degradation in terms of capacity fade. The BN is trained using experimental results of lithium iron phosphate batteries. Residential energy storage capacity fade was estimated for multiple cases. These cases originated from a smart home energy management system (SHEMS). The cases reflect that capacity fade of the residential energy storage depends on SHEMS architecture, power consumption limits and electric vehicle schedule.