scholarly journals Networked Control of Electric Vehicles for Power System Frequency Regulation with Random Communication Time Delay

Energies ◽  
2017 ◽  
Vol 10 (5) ◽  
pp. 621 ◽  
Author(s):  
Yunpeng Guo ◽  
Liyan Zhang ◽  
Junhua Zhao ◽  
Fushuan Wen ◽  
Abdus Salam ◽  
...  
Keyword(s):  
Time Delay ◽  
Power System ◽  
Electric Vehicles ◽  
Networked Control ◽  
Frequency Regulation ◽  
Communication Time ◽  
System Frequency

Frequency Regulation of Power System Considering PEVs

2014 ◽  
Vol 651-653 ◽  
pp. 1078-1083
Author(s):  
Wen Bin Xiang ◽  
Ming Xu
Keyword(s):  
Power System ◽  
Electric Vehicles ◽  
Dynamic Control ◽  
Control Model ◽  
Frequency Regulation ◽  
Vehicle To Grid ◽  
Simulink Simulation ◽  
Energy Interaction ◽  
Simulation Based ◽  
System Frequency

As a distributed controllable loads, Plug-in electric vehicles (PEVs) connecting to the smart grid and participating in frequency regulation is drawing more and more attention. Depending on Vehicle-to-Grid (V2G) technology to realize the energy interaction between PEVs and the power grid, a dynamic control model of PEVs is proposed by considering the dynamic characteristics of the battery charging/discharging, and the dynamic model consider PEVs participating in frequency regulation is established. Finally, through the SIMULINK simulation based on the model, it demonstrates that the model responds well to the system frequency deviation, and it is important to improve frequency stability and realize the rapid recovery of power system.

Load frequency control in the presence of simultaneous cyber-attack and participation of demand response program

2022 ◽  
pp. 014233122110686
Author(s):  
Seyed Hossein Rouhani ◽  
Hamed Mojallali ◽  
Alfred Baghramian
Keyword(s):  
Power System ◽  
Demand Response ◽  
Sliding Mode ◽  
Load Frequency Control ◽  
Frequency Regulation ◽  
Cyber Attack ◽  
Smart Power ◽  
False Data Injection ◽  
Load Disturbance ◽  
Communication Time

Simultaneous investigation of demand response programs and false data injection cyber-attack are critical issues for the smart power system frequency regulation. To this purpose, in this paper, the output of the studied system is simultaneously divided into two subsystems: one part including false data injection cyder-attack and another part without cyder-attack. Then, false data injection cyber-attack and load disturbance are estimated by a non-linear sliding mode observer, simultaneously and separately. After that, demand response is incorporated in the uncertain power system to compensate the whole or a part of the load disturbance based on the available electrical power in the aggregators considering communication time delay. Finally, active disturbance rejection control is modified and introduced to remove the false data injection cyber-attack and control the uncompensated load disturbance. The salp swarm algorithm is used to design the parameters. The results of several simulation scenarios indicate the efficient performance of the proposed method.

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