Optimal Operation of Energy Storage Devices based on Artificial Intelligence

Ji-Hyoun Lee; Woo-Hyun Kim; Tae-Young Kang; Tae-Jun Park

doi:10.7836/kses.2022.42.1.155

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2022 Vol.42, Issue 1 Preview Page Next Page

Research Article

Optimal Operation of Energy Storage Devices based on Artificial Intelligence 인공지능을 기반으로 한 에너지저장장치 최적운영

28 February 2022. pp. 155-175

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Abstract

Energy storage system (ESS) is a power storage device to increase power utilization efficiency by storing generated electricity and supplying power, when needed. As the number of ESS explosion accidents has been rapidly increasing over the past two to three years, a failure diagnosis study on ESS fire safety should be preceded for its continuous use. When the ESS is operated at high temperature for a long time, aging is caused owing to deterioration, and hence, stable operation is required. Among the recent 28 fires, 15 of them occurred during charging and resting. Because rapid temperature and humidity changes occur during charging and discharging, it is important to predict the trend of change. This study predicts ESS operation patterns through an artificial intelligence-based prediction algorithm, and also diagnoses ESS failures through a supervised learning-based confusion matrix. When a failure pattern is found in the ESS, a method to reduce damage through air conditioner control is studied.

Keywords

Energy Storage System

Optimization

Deep Learning

Artificial Intelligence

키워드

에너지저장장치

최적화

딥러닝

인공지능

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Information

Publisher :Korean Solar Energy Society
Publisher(Ko) :한국태양에너지학회
Journal Title :Journal of the Korean Solar Energy Society
Journal Title(Ko) :한국태양에너지학회 논문집
Volume : 42
No :1
Pages :155-175
Received Date : 2022-01-12
Revised Date : 2022-02-04
Accepted Date : 2022-02-05
DOI :https://doi.org/10.7836/kses.2022.42.1.155

Journal of the Korean Solar Energy Society ISSN:1598-6411(Print) 2508-3562(Online) 한국태양에너지학회 논문집

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