scholarly journals Distributed Privacy-Preserving Active Power Sharing and Frequency Regulation in Microgrids

Author(s):  
Bo Fan ◽  
xiongfei wang

To avoid potential privacy threats and associated cyber-security issues in microgrids, this letter presents a distributed active power sharing and frequency regulation method with <i>preserved privacy</i> of local information. In the proposed approach, the transmitted data including the active power outputs and capacities are protected by adding noises to the original ones. Theoretical analysis and verification studies are performed to illustrate the advantages of the proposed method.

2021 ◽  
Author(s):  
Bo Fan ◽  
xiongfei wang

To avoid potential privacy threats and associated cyber-security issues in microgrids, this letter presents a distributed active power sharing and frequency regulation method with <i>preserved privacy</i> of local information. In the proposed approach, the transmitted data including the active power outputs and capacities are protected by adding noises to the original ones. Theoretical analysis and verification studies are performed to illustrate the advantages of the proposed method.


2020 ◽  
Author(s):  
Bo Fan ◽  
xiongfei wang

To avoid potential privacy threats and associated cyber-security issues in microgrids, this letter presents a distributed active power sharing and frequency regulation method with <i>preserved privacy</i> of local information. In the proposed approach, the transmitted data including the active power outputs and capacities are protected by adding noises to the original ones. Theoretical analysis and verification studies are performed to illustrate the advantages of the proposed method.


Power quality is a growing concern with sensible and critical loads asking for stringent frequency regulations. The distributed generation sources like Solar Photovoltaic, Diesel Generator, Fuel Cells, and Battery driven Electric Vehicles (BEV) are considered as power sources in the system. For the power-sharing among these generators, a central controller with a novel simple adaptive-additive control strategy is used. Each source has a local controller to regulate the power outputs. This paper presents a Neuro-Fuzzy controller for operating Solar Photovoltaic power at a Limited Power Point while a novel Neuro-Tuned-Fuzzy Controller decides which BEVs to be connected to the microgrid by giving a priority value to each BEV. The simulation results show the coordinated operation of the central and local controllers to regulate the power outputs of the sources was effective to manage reserves and achieve frequency regulation.


2020 ◽  
Vol 67 (8) ◽  
pp. 6461-6472 ◽  
Author(s):  
Carlos Xavier Rosero ◽  
Manel Velasco ◽  
Pau Marti ◽  
Antonio Camacho ◽  
Jaume Miret ◽  
...  

2015 ◽  
Vol 48 (30) ◽  
pp. 288-293 ◽  
Author(s):  
M.I. Azim ◽  
M.J. Hossain ◽  
H.R. Pota
Keyword(s):  

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