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The objective of this paper was to examine the dynamic impedance estimation of electrical systems from online measurements. The paper makes several considerations and highlights the challenges to obtain a precise estimation. Transducer equalization and harmonic synchrophasor estimation (HSpE) are reviewed and discussed. The use of online and adaptive equalization for transducers proves to be a viable solution for improving voltage transducer’s (VT’s) and current transducer’s (CT’s) frequency response. Additionally, the use of oversampling algorithms can mitigate the effects of noise in the HSpE. Furthermore, methods for harmonic impedance estimation are discussed. The independent component analysis ICA-based dynamic impedance estimation is proposed and results presented, which yields excellent agreement. Finally, harmonic modeling and simulation of injected harmonic currents are used to observe resonances through the amplification and attenuations and, consequently, the opportunity to confirm the system self and transfer impedances of a test system. Dynamic impedance estimation will continue to be a great challenge for the power systems engineer as the system complexity increases with the massive insertion of power electronic inverters and the associated required filtering. Real-time signal processing will be an effective tool to determine the dynamic self or transfer impedance.
Mateus M. De Oliveira; Renato R. Aleixo; Denise F. Resende; Leandro R. M. Silva; Rafael S. Salles; Carlos A. Duque; Paulo F. Ribeiro. Dynamic Impedance Estimation: Challenges and Considerations. Applied Sciences 2021, 11, 558 .
AMA StyleMateus M. De Oliveira, Renato R. Aleixo, Denise F. Resende, Leandro R. M. Silva, Rafael S. Salles, Carlos A. Duque, Paulo F. Ribeiro. Dynamic Impedance Estimation: Challenges and Considerations. Applied Sciences. 2021; 11 (2):558.
Chicago/Turabian StyleMateus M. De Oliveira; Renato R. Aleixo; Denise F. Resende; Leandro R. M. Silva; Rafael S. Salles; Carlos A. Duque; Paulo F. Ribeiro. 2021. "Dynamic Impedance Estimation: Challenges and Considerations." Applied Sciences 11, no. 2: 558.
The advance of the distributed generation in Brazil makes it essential to investigate the applications and transformations that the use of these new arrangements may entail. The use of non-centralized generation technologies associated with energy storage is interesting for several sectors of the energy market, even if the market is in the process of maturing these technologies. In the context of the time-of-use rate, these changes have allowed the consumer to use strategies to save energy bill costs, especially when its moment of most considerable consumption coincides with that of the highest tariff. In this paper, a Battery Energy Storage System (BESS) is used to perform commercial peak load reduction in a microgrid in connected mode. The microgrid also has a Photovoltaic (PV) Generator Farm as Renewable Energy Sources (RES) to provide load consumption and also to assist BESS in the peak shaving operation. The modeling and simulation of the system are performed by MATLAB/Simulink. The analysis demonstrates that the peak load reduction produces the expected financial benefits under a Brazilian time-of-use rate known as White Rate, in addition to carrying out the operation in a manner consistent with the technique from an electrical point of view. The software Homer Grid validates the potential savings. Thus, the results showed that the use of energy storage associated with renewable generation under a peak shaving strategy allows greater freedom for the consumer in the face of costs with main grid purchases.
Rafael S. Salles; A. C. Zambroni De Souza; Paulo F. Ribeiro. Energy Storage for Peak Shaving in a Microgrid in the Context of Brazilian Time-of-Use Rate. Proceedings 2020, 58, 16 .
AMA StyleRafael S. Salles, A. C. Zambroni De Souza, Paulo F. Ribeiro. Energy Storage for Peak Shaving in a Microgrid in the Context of Brazilian Time-of-Use Rate. Proceedings. 2020; 58 (1):16.
Chicago/Turabian StyleRafael S. Salles; A. C. Zambroni De Souza; Paulo F. Ribeiro. 2020. "Energy Storage for Peak Shaving in a Microgrid in the Context of Brazilian Time-of-Use Rate." Proceedings 58, no. 1: 16.