Uncertainty parameters of battery energy storage integrated grid and their modeling approaches: A review and future research directions
The continuously growing population and urban growth rates are responsible for the sharp rise in energy consumption, which leads to increased CO2 emissions and demand-supply imbalances. The power sector is switching to alternative energy sources, including renewable energy resources (RES) such as Ph...
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2024
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my.uniten.dspace-341162024-10-14T11:18:01Z Uncertainty parameters of battery energy storage integrated grid and their modeling approaches: A review and future research directions Reza M.S. Hannan M.A. Ker P.J. Mansor M. Lipu M.S.H. Hossain M.J. Mahlia T.M.I. 59055914200 7103014445 37461740800 6701749037 58562396100 57209871691 56997615100 Battery energy storage system Integrated grid Photovoltaic Renewable energy resources Uncertainty modeling approach Wind power Battery storage Electric batteries Electric power transmission Electric power transmission networks Energy utilization Fossil fuels Learning algorithms Machine learning Numerical methods Optimization Population statistics Power quality Sustainable development Uncertainty analysis Battery energy storage systems Future research directions Integrated grid Modeling approach Photovoltaics Power grids Uncertainty Uncertainty modeling approach Uncertainty models Uncertainty parameters Wind power The continuously growing population and urban growth rates are responsible for the sharp rise in energy consumption, which leads to increased CO2 emissions and demand-supply imbalances. The power sector is switching to alternative energy sources, including renewable energy resources (RES) such as Photovoltaic (PV) and wind power (WP) and battery energy storage systems (BESS), among others, due to an increase in the use of fossil fuels and their shortage. Since the power generation of these resources is uncertain due to climatic fluctuations and the direct integration of these resources into the power grid is very complex due to the issues such as voltage and frequency regulation, overloading of active transmission lines, and supply-demand disparity, the research on system uncertainties is receiving increasing attention. This study provides a comprehensive analysis of the several parameters of uncertainty, approaches for dealing with the uncertainty in battery energy storage (BES)-based RES integrated grid, and the advantages and disadvantages of each method. Moreover, various analytical and numerical approaches were developed for integrating RES and BESS into the power grid, including probabilistic methods, possibilistic methods, robust optimization-based techniques, and machine learning algorithms. The comparative analysis of these approaches highlights their relative strengths and weaknesses, providing a valuable resource for researchers and utility planners. Additionally, this review paper identifies several issues and challenges associated with the integration of RES and BESS into the power grid, such as power quality, economical effect, battery aging effect, and environmental effect. Furthermore, the paper suggests a few future research directions, including the development of novel models for analyzing uncertainty in power systems, coordination of uncertainty parameters, integration of BESS into RES and grid, power electronics integration, and environmental factor. Overall, this article's novel contributions include a comprehensive analysis of uncertainty parameters, a comparative analysis of uncertainty modeling approaches, an identification of critical issues and challenges, and the suggestion of future research directions to promote a sustainable and reliable power system. This article will aid in defining the requirements and specifications for novel models for analyzing uncertainty in power systems. The discussion and analysis will assist researchers and utility planners in selecting a suitable uncertainty modeling approach with significant penetrations of distributed RESs, which can lead to achieving a reliable and sustainable power system. � 2023 Elsevier Ltd Final 2024-10-14T03:18:01Z 2024-10-14T03:18:01Z 2023 Review 10.1016/j.est.2023.107698 2-s2.0-85159570359 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159570359&doi=10.1016%2fj.est.2023.107698&partnerID=40&md5=0a7708273e73faeaeeef50545256191f https://irepository.uniten.edu.my/handle/123456789/34116 68 107698 Elsevier Ltd Scopus |
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Battery energy storage system Integrated grid Photovoltaic Renewable energy resources Uncertainty modeling approach Wind power Battery storage Electric batteries Electric power transmission Electric power transmission networks Energy utilization Fossil fuels Learning algorithms Machine learning Numerical methods Optimization Population statistics Power quality Sustainable development Uncertainty analysis Battery energy storage systems Future research directions Integrated grid Modeling approach Photovoltaics Power grids Uncertainty Uncertainty modeling approach Uncertainty models Uncertainty parameters Wind power |
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Battery energy storage system Integrated grid Photovoltaic Renewable energy resources Uncertainty modeling approach Wind power Battery storage Electric batteries Electric power transmission Electric power transmission networks Energy utilization Fossil fuels Learning algorithms Machine learning Numerical methods Optimization Population statistics Power quality Sustainable development Uncertainty analysis Battery energy storage systems Future research directions Integrated grid Modeling approach Photovoltaics Power grids Uncertainty Uncertainty modeling approach Uncertainty models Uncertainty parameters Wind power Reza M.S. Hannan M.A. Ker P.J. Mansor M. Lipu M.S.H. Hossain M.J. Mahlia T.M.I. Uncertainty parameters of battery energy storage integrated grid and their modeling approaches: A review and future research directions |
| description |
The continuously growing population and urban growth rates are responsible for the sharp rise in energy consumption, which leads to increased CO2 emissions and demand-supply imbalances. The power sector is switching to alternative energy sources, including renewable energy resources (RES) such as Photovoltaic (PV) and wind power (WP) and battery energy storage systems (BESS), among others, due to an increase in the use of fossil fuels and their shortage. Since the power generation of these resources is uncertain due to climatic fluctuations and the direct integration of these resources into the power grid is very complex due to the issues such as |
| author2 |
59055914200 |
| author_facet |
59055914200 Reza M.S. Hannan M.A. Ker P.J. Mansor M. Lipu M.S.H. Hossain M.J. Mahlia T.M.I. |
| format |
Review |
| author |
Reza M.S. Hannan M.A. Ker P.J. Mansor M. Lipu M.S.H. Hossain M.J. Mahlia T.M.I. |
| author_sort |
Reza M.S. |
| title |
Uncertainty parameters of battery energy storage integrated grid and their modeling approaches: A review and future research directions |
| title_short |
Uncertainty parameters of battery energy storage integrated grid and their modeling approaches: A review and future research directions |
| title_full |
Uncertainty parameters of battery energy storage integrated grid and their modeling approaches: A review and future research directions |
| title_fullStr |
Uncertainty parameters of battery energy storage integrated grid and their modeling approaches: A review and future research directions |
| title_full_unstemmed |
Uncertainty parameters of battery energy storage integrated grid and their modeling approaches: A review and future research directions |
| title_sort |
uncertainty parameters of battery energy storage integrated grid and their modeling approaches: a review and future research directions |
| publisher |
Elsevier Ltd |
| publishDate |
2024 |
| _version_ |
1814061105142562816 |
| score |
13.211869 |