Review on reliability assessment of energy storage systems
Abstract As renewable energy, characterised by its intermittent nature, increasingly penetrates the conventional power grid, the role of energy storage systems (ESS) in maintaining energy balance becomes paramount. This dynamic necessitates a rigorous reliability assessment of ESS to ensure consiste...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-12-01
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| Series: | IET Smart Grid |
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| Online Access: | https://doi.org/10.1049/stg2.12179 |
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| _version_ | 1850252536885280768 |
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| author | Xiaohe Yan Jialiang Li Pengfei Zhao Nian Liu Liangyou Wang Bo Yue Yanchao Liu |
| author_facet | Xiaohe Yan Jialiang Li Pengfei Zhao Nian Liu Liangyou Wang Bo Yue Yanchao Liu |
| author_sort | Xiaohe Yan |
| collection | DOAJ |
| description | Abstract As renewable energy, characterised by its intermittent nature, increasingly penetrates the conventional power grid, the role of energy storage systems (ESS) in maintaining energy balance becomes paramount. This dynamic necessitates a rigorous reliability assessment of ESS to ensure consistent energy availability and system stability. The authors provide a review of the existing research on ESS reliability assessment, encompassing various methods, models, reliability indicators, and offers an analysis of future research trends in ESS reliability. Firstly, the authors summarise the different types of ESS and their characteristics, analysing the trends in ESS reliability research and the unique characteristics of ESS compared to conventional power systems. Secondly, the methods used for the assessment are reviewed, including Markov methods, generalised generating functions, Monte Carlo simulations etc. The shortcomings and characteristics of these methods are discussed. The key reliability indicators, such as Mean Time Between Failures and Mean Time to Repair are emphasised. The applied role of reliability studies is summarised. Finally, the perspective of new research trends in ESS reliability assessment are identified, especially the integration of artificial intelligence and machine learning, and emphasises their potential to further improve the robustness and effectiveness of ESS reliability. |
| format | Article |
| id | doaj-art-21c43cfc90a34916b45f0fe40c2e8e32 |
| institution | OA Journals |
| issn | 2515-2947 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Smart Grid |
| spelling | doaj-art-21c43cfc90a34916b45f0fe40c2e8e322025-08-20T01:57:36ZengWileyIET Smart Grid2515-29472024-12-017669571510.1049/stg2.12179Review on reliability assessment of energy storage systemsXiaohe Yan0Jialiang Li1Pengfei Zhao2Nian Liu3Liangyou Wang4Bo Yue5Yanchao Liu6State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing ChinaState Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing ChinaChina Three Gorges Corporation Wuhan ChinaChina Three Gorges Corporation Wuhan ChinaScience and Technology Research Institute China Three Gorges Corporation Beijing ChinaAbstract As renewable energy, characterised by its intermittent nature, increasingly penetrates the conventional power grid, the role of energy storage systems (ESS) in maintaining energy balance becomes paramount. This dynamic necessitates a rigorous reliability assessment of ESS to ensure consistent energy availability and system stability. The authors provide a review of the existing research on ESS reliability assessment, encompassing various methods, models, reliability indicators, and offers an analysis of future research trends in ESS reliability. Firstly, the authors summarise the different types of ESS and their characteristics, analysing the trends in ESS reliability research and the unique characteristics of ESS compared to conventional power systems. Secondly, the methods used for the assessment are reviewed, including Markov methods, generalised generating functions, Monte Carlo simulations etc. The shortcomings and characteristics of these methods are discussed. The key reliability indicators, such as Mean Time Between Failures and Mean Time to Repair are emphasised. The applied role of reliability studies is summarised. Finally, the perspective of new research trends in ESS reliability assessment are identified, especially the integration of artificial intelligence and machine learning, and emphasises their potential to further improve the robustness and effectiveness of ESS reliability.https://doi.org/10.1049/stg2.12179energy storagereliability |
| spellingShingle | Xiaohe Yan Jialiang Li Pengfei Zhao Nian Liu Liangyou Wang Bo Yue Yanchao Liu Review on reliability assessment of energy storage systems IET Smart Grid energy storage reliability |
| title | Review on reliability assessment of energy storage systems |
| title_full | Review on reliability assessment of energy storage systems |
| title_fullStr | Review on reliability assessment of energy storage systems |
| title_full_unstemmed | Review on reliability assessment of energy storage systems |
| title_short | Review on reliability assessment of energy storage systems |
| title_sort | review on reliability assessment of energy storage systems |
| topic | energy storage reliability |
| url | https://doi.org/10.1049/stg2.12179 |
| work_keys_str_mv | AT xiaoheyan reviewonreliabilityassessmentofenergystoragesystems AT jialiangli reviewonreliabilityassessmentofenergystoragesystems AT pengfeizhao reviewonreliabilityassessmentofenergystoragesystems AT nianliu reviewonreliabilityassessmentofenergystoragesystems AT liangyouwang reviewonreliabilityassessmentofenergystoragesystems AT boyue reviewonreliabilityassessmentofenergystoragesystems AT yanchaoliu reviewonreliabilityassessmentofenergystoragesystems |