Application of online empirical mode decomposition and continuous wavelet transform for Power Smoothing in Low-voltage Microgrid with Battery Energy Storage System
| Autor: | Mohamad Amin Rajabinezhad, Josep M. Guerrero, Arman Ghaderi Baayeh, S. Danyali |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Microgrid
business.industry Computer science 020209 energy Energy storage system 020208 electrical & electronic engineering Renewable energy source 02 engineering and technology AC power Energy storage Power smoothing Power (physics) Renewable energy Control theory 0202 electrical engineering electronic engineering information engineering business Empirical mode decomposition Low voltage Power management system Smoothing Continuous wavelet transform |
| Zdroj: | Rajabinezhad, M A, Ghaderi Baayeh, A, Danyali, S & Guerrero, J M 2021, Application of online empirical mode decomposition and continuous wavelet transform for Power Smoothing in Low-voltage Microgrid with Battery Energy Storage System . in 2021 12th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2021 ., 9405907, IEEE Signal Processing Society, 2021 12th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2021, 12th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2021, Tabriz, Iran, Islamic Republic of, 02/02/2021 . https://doi.org/10.1109/PEDSTC52094.2021.9405907 |
| Popis: | With the advent of microgrids (MG) and increasing use of renewable energy sources (RES), conventional low voltage networks change their structure from passive to active. The inherent oscillation nature of RESs, such as wind turbine units (WT), can lead to adverse effects such as power quality and system stability issues. therefore, the use of energy storage systems (ESSs) becomes one feasible solution to mitigate the output power fluctuations of the WT unit. In this paper, a Battery Energy Storage System (BESS) is used in order to smooth the power fluctuations based on a two-level control strategy include active power smoothing and reactive power compensation and also power management system. Various signal processing methods are applied to power smoothing level, and among all of them, the continuous wavelet transform (CWT) demonstrated the best performance. The effectiveness of the control strategy is verified using MATLAB/Simulink software. |
| Databáze: | OpenAIRE |
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