Peak shaving and power allocation strategies for optimizing lifespan and reducing energy loss in BESS

To manage the challenge of optimizing energy efficiency, an optimization strategy for power allocation in battery clusters is proposed to reduce energy loss in Battery Energy Storage Systems (BESS). Meanwhile, an improved peak shaving strategy is also proposed, aiming to increase the utilization of energy storage during the peak shaving process and reduce the ineffective utilization hours of energy storage, thereby extending the lifespan of the storage system. Furthermore, based on real-system data, a Simulink/Simscape model is developed to simulate component losses. Under a peak shaving scenario, the effectiveness of the strategy is demonstrated: it reduces the daily operational loss by 3.84% and improves energy round-trip efficiency by 0.4%.

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Publication Details

Journal
IET conference proceedings.
Published
2025-03-01
DOI
https://doi.org/10.1049/icp.2025.0737
Primary Topic
Engineering Applied Research
Type
article
Field-Weighted Citation Impact
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article

Peak shaving and power allocation strategies for optimizing lifespan and reducing energy loss in BESS

Gangui Yan, Gang Mu, Junhui Li, Gan Guo
1 links
IET conference proceedings.
Engineering Applied Research
article

Peak shaving and power allocation strategies for optimizing lifespan and reducing energy loss in BESS

Gangui Yan, Gang Mu, Junhui Li, Gan Guo
article en

Abstract

To manage the challenge of optimizing energy efficiency, an optimization strategy for power allocation in battery clusters is proposed to reduce energy loss in Battery Energy Storage Systems (BESS). Meanwhile, an improved peak shaving strategy is also proposed, aiming to increase the utilization of energy storage during the peak shaving process and reduce the ineffective utilization hours of energy storage, thereby extending the lifespan of the storage system. Furthermore, based on real-system data, a Simulink/Simscape model is developed to simulate component losses. Under a peak shaving scenario, the effectiveness of the strategy is demonstrated: it reduces the daily operational loss by 3.84% and improves energy round-trip efficiency by 0.4%.

IET conference proceedings.Vol. 2024(33)
Northeast Electric Power University (CN)
Affordable and clean energy
Openalex Percentile: Top 95%
Engineering Applied Research
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