An optimized fractional order cascade controller for frequency regulation of power system with renewable energies and electric vehicles

2021 ◽  
Author(s):  
Satyajeet Das ◽  
Sidhartha Panda
Energies ◽  
2017 ◽  
Vol 10 (5) ◽  
pp. 621 ◽  
Author(s):  
Yunpeng Guo ◽  
Liyan Zhang ◽  
Junhua Zhao ◽  
Fushuan Wen ◽  
Abdus Salam ◽  
...  

Author(s):  
Anurekha Nayak ◽  
Manoj Kumar Maharana ◽  
Gayadhar Panda

Abstract This paper demonstrates the operational efficacy of a newly proposed fuzzy tuned fractional order controller to offer an improved frequency regulation of a multi area renewable energy source (RES) integrated nonlinear power system. The effect of governor dead band nonlinearity and generation rate constraint of hydro and thermal power plants are considered in the system. Moreover, a proposed appropriate High voltage direct current (HVDC) tie line model is incorporated in this work, to verify the frequency deviation. Different test cases are applied to verify the robustness of the controllers on frequency response. The superiority of the proposed controller upon Proportional integral and derivative (PID), fuzzy logic controller and fuzzy PID controller in minimizing frequency deviation has been verified through MATLAB SIMULINK environment.


IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Emad M. Ahmed ◽  
Ahmed Elmelegi ◽  
Ahmed Shawky ◽  
Mokhtar Aly ◽  
Waleed Alhosaini ◽  
...  

2014 ◽  
Vol 651-653 ◽  
pp. 1078-1083
Author(s):  
Wen Bin Xiang ◽  
Ming Xu

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.


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