SOC Control Strategy of Energy Storage System Based on Brin Line Theory

With the expansion of new energy generation and the cost reduction of lithium batteries, energy storage technology has become the key to the “dual carbon” goal. Given that the extreme level of SOC (state of charge) of an energy storage system can shorten its service life, it is particularly important to implement reasonable control strategies to avoid excessive charge and discharge. Therefore, we propose a new SOC control strategy based on Bollinger line theory. With reference to the stock market Brin channel risk prediction and management method, this strategy can innovatively delineate SOC safety interval and predict SOC change trend in advance, so as to effectively prevent risks caused by insufficient adjustment ability or excessive charge and discharge. Simulation experiments show that this strategy can accurately identify the risk of SOC deviation from the safe range when the energy storage system participates in the task of power grid peak and frequency regulation, and take preventive measures quickly, which significantly extends the service life of the energy storage system.

Authors

Institutions

Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/appeec61255.2024.10922634
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SOC Control Strategy of Energy Storage System Based on Brin Line Theory

Lin Zhu, Jinkui Liu, Xinxin Shi, Rui Shan et al.
Power Systems and Renewable Energy
article

SOC Control Strategy of Energy Storage System Based on Brin Line Theory

Lin Zhu, Jinkui Liu, Xinxin Shi, Rui Shan, Lei Liang, Ning Sun, Qin Tian
article en

Abstract

With the expansion of new energy generation and the cost reduction of lithium batteries, energy storage technology has become the key to the “dual carbon” goal. Given that the extreme level of SOC (state of charge) of an energy storage system can shorten its service life, it is particularly important to implement reasonable control strategies to avoid excessive charge and discharge. Therefore, we propose a new SOC control strategy based on Bollinger line theory. With reference to the stock market Brin channel risk prediction and management method, this strategy can innovatively delineate SOC safety interval and predict SOC change trend in advance, so as to effectively prevent risks caused by insufficient adjustment ability or excessive charge and discharge. Simulation experiments show that this strategy can accurately identify the risk of SOC deviation from the safe range when the energy storage system participates in the task of power grid peak and frequency regulation, and take preventive measures quickly, which significantly extends the service life of the energy storage system.

NARI Group (China) (CN), China Shenhua Energy (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 66%
Power Systems and Renewable Energy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.