Uncertainty parameters of battery energy storage integrated grid and their modeling approaches: A review and future research directions

• Main Authors: Reza M.S., Hannan M.A., Ker P.J., Mansor M., Lipu M.S.H., Hossain M.J., Mahlia T.M.I.
• Other Authors: 59055914200
• Format: Review
• Published: Elsevier Ltd 2024
• Subjects: 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; Modeling approach; Photovoltaics; Power grids; Uncertainty; Uncertainty models; Uncertainty parameters

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...