Integration of Battery Energy Storage System into Distribution Networks: An Approach based on State-of-Health Estimation

Battery energy storage systems (BESS) are essential for optimizing energy management in distribution networks. This paper presents a comprehensive framework and detailed mathematical model for integrating BESS into the distribution network to reduce the operating costs of a local distribution company (LDC). It proposes a state-of-health (SoH) estimation based on calendar aging for lithium-ion (Li-ion) batteries to be incorporated into the LDC planning strategy. This estimate accurately predicts the SoH of BESS over time and ensures more effective long-term planning and cost management. The results show that the proposed model provides accurate and reliable SoH estimates, which contributes to improving the efficiency and sustainability of on-grid energy storage systems.

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Publication Details

Published
2024-11-10
DOI
https://doi.org/10.1109/isgtasia61245.2024.10876363
Citations
1
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.20
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article

Integration of Battery Energy Storage System into Distribution Networks: An Approach based on State-of-Health Estimation

Swapnil Mitra, K. Rayudu, Atanu Ghosh, Pradeep Kumar Yemula
1 citations
Advanced Battery Technologies Research
0.20
article

Integration of Battery Energy Storage System into Distribution Networks: An Approach based on State-of-Health Estimation

Swapnil Mitra, K. Rayudu, Atanu Ghosh, Pradeep Kumar Yemula
article en
1 citations

Abstract

Battery energy storage systems (BESS) are essential for optimizing energy management in distribution networks. This paper presents a comprehensive framework and detailed mathematical model for integrating BESS into the distribution network to reduce the operating costs of a local distribution company (LDC). It proposes a state-of-health (SoH) estimation based on calendar aging for lithium-ion (Li-ion) batteries to be incorporated into the LDC planning strategy. This estimate accurately predicts the SoH of BESS over time and ensures more effective long-term planning and cost management. The results show that the proposed model provides accurate and reliable SoH estimates, which contributes to improving the efficiency and sustainability of on-grid energy storage systems.

Indian Institute of Technology Hyderabad (IN)
Affordable and clean energy
Openalex Percentile: Top 46%
Advanced Battery Technologies Research
0.20
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