Battery energy storage systems (BESSs) and the economy-dynamics of microgrids: review, analysis, and classification for standardization of BESSs applications
Existing literature on microgrids (MGs) has either investigated the dynamics or economics of MG systems. Accordingly, the important impacts of battery energy storage systems (BESSs) on the economics and dynamics of MGs have been studied only separately due to the different time constants of studies....
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sg-ntu-dr.10356-1636242022-12-13T01:22:13Z Battery energy storage systems (BESSs) and the economy-dynamics of microgrids: review, analysis, and classification for standardization of BESSs applications Eskandari, Mohsen Rajabi, Amin Savkin, Andrey V. Moradi, Mohammad H. Dong, Zhao Yang School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Battery Energy Storage Renewable Energy Existing literature on microgrids (MGs) has either investigated the dynamics or economics of MG systems. Accordingly, the important impacts of battery energy storage systems (BESSs) on the economics and dynamics of MGs have been studied only separately due to the different time constants of studies. However, with the advent of modern complicated microgrids, BESSs are bridging these two domains. Thus, there is a need to study how these two are related in conjunction with each other. Looking at both the economics and dynamics of MGs and exploring their links will help researchers develop joint Econo-dynamics models, notably in the context of digital twin technology, that could be the future trend toward net-zero emission systems. This paper reviews, analyses, and classifies BESSs applications based on their time constants. The classified BESS applications are: 1) synthetic inertia response; 2) primary frequency support to compensate for the slow response micro-sources; 3) real-time energy management for covering intermittent renewables; 4) economic dispatch for improving steady-state performance, and 5) slack bus realization. Research gaps and future trends have been discussed throughout the paper and are summarized in the future trend section. This work was supported in part by the Australian Research Council (ACR) under Grant DP190102501. This work is partially supported by AlphaESS through ARC Research Hub for Integrated Energy Storage Solutions (IH180100020). 2022-12-13T01:22:13Z 2022-12-13T01:22:13Z 2022 Journal Article Eskandari, M., Rajabi, A., Savkin, A. V., Moradi, M. H. & Dong, Z. Y. (2022). Battery energy storage systems (BESSs) and the economy-dynamics of microgrids: review, analysis, and classification for standardization of BESSs applications. Journal of Energy Storage, 55, 105627-. https://dx.doi.org/10.1016/j.est.2022.105627 2352-152X https://hdl.handle.net/10356/163624 10.1016/j.est.2022.105627 2-s2.0-85137317979 55 105627 en Journal of Energy Storage © 2022 Elsevier Ltd. All rights reserved. |
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Engineering::Electrical and electronic engineering Battery Energy Storage Renewable Energy Eskandari, Mohsen Rajabi, Amin Savkin, Andrey V. Moradi, Mohammad H. Dong, Zhao Yang Battery energy storage systems (BESSs) and the economy-dynamics of microgrids: review, analysis, and classification for standardization of BESSs applications |
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Existing literature on microgrids (MGs) has either investigated the dynamics or economics of MG systems. Accordingly, the important impacts of battery energy storage systems (BESSs) on the economics and dynamics of MGs have been studied only separately due to the different time constants of studies. However, with the advent of modern complicated microgrids, BESSs are bridging these two domains. Thus, there is a need to study how these two are related in conjunction with each other. Looking at both the economics and dynamics of MGs and exploring their links will help researchers develop joint Econo-dynamics models, notably in the context of digital twin technology, that could be the future trend toward net-zero emission systems. This paper reviews, analyses, and classifies BESSs applications based on their time constants. The classified BESS applications are: 1) synthetic inertia response; 2) primary frequency support to compensate for the slow response micro-sources; 3) real-time energy management for covering intermittent renewables; 4) economic dispatch for improving steady-state performance, and 5) slack bus realization. Research gaps and future trends have been discussed throughout the paper and are summarized in the future trend section. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Eskandari, Mohsen Rajabi, Amin Savkin, Andrey V. Moradi, Mohammad H. Dong, Zhao Yang |
format |
Article |
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Eskandari, Mohsen Rajabi, Amin Savkin, Andrey V. Moradi, Mohammad H. Dong, Zhao Yang |
author_sort |
Eskandari, Mohsen |
title |
Battery energy storage systems (BESSs) and the economy-dynamics of microgrids: review, analysis, and classification for standardization of BESSs applications |
title_short |
Battery energy storage systems (BESSs) and the economy-dynamics of microgrids: review, analysis, and classification for standardization of BESSs applications |
title_full |
Battery energy storage systems (BESSs) and the economy-dynamics of microgrids: review, analysis, and classification for standardization of BESSs applications |
title_fullStr |
Battery energy storage systems (BESSs) and the economy-dynamics of microgrids: review, analysis, and classification for standardization of BESSs applications |
title_full_unstemmed |
Battery energy storage systems (BESSs) and the economy-dynamics of microgrids: review, analysis, and classification for standardization of BESSs applications |
title_sort |
battery energy storage systems (besss) and the economy-dynamics of microgrids: review, analysis, and classification for standardization of besss applications |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/163624 |
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1753801158052282368 |