Voltage fluctuations relief by applying VAr control scheme function

2016 ◽  
Author(s):  
Anuwat Chanhome ◽  
Surachai Chaitusaney
Keyword(s):  
Voltage Fluctuations ◽  
Control Scheme

scholarly journals An Intelligent Control Scheme for DFIG Wind Farm to Control the Voltage Fluctuations

2020 ◽  
pp. 494-499
Author(s):  
Bharath. M
Keyword(s):  
Wind Farm ◽  
Reactive Power ◽  
Wind Farms ◽  
Voltage Fluctuations ◽  
Grid Voltage ◽  
Control Scheme ◽  
Point Of Common Coupling ◽  
Doubly Fed ◽  
Control Methodology ◽  
Frequency Pulse

<p>In this project we investigates the control of doubly-fed induction generator (DFIG) based wind farms for compensating voltage fluctuations in weak networks. Under an unbalanced power grid voltage conditions, the DFIG’s stator side active power, reactive power, and electromagnetic torque will generate twice-multiplied frequency pulse quantities. The proposed control methodology exploits the potential of the series-DFIG scheme to avoid that grid voltage unbalances compromise the machine operation, and to compensate voltage unbalances at the point of common coupling (PCC), preventing adverse effects on loads connected next to the PCC. The modeling of the system has been discussed and also the system parameters are plotted. MATLAB Simulink has been used as the tool to evaluate the system. The grid parameter variations are also discussed.</p>

Adaptive Control Scheme for Coupled Tank Process

2018 ◽  
pp. 89-95
Author(s):  
Vinodhini M.
Keyword(s):  
Adaptive Control ◽  
Nonlinear Behaviour ◽  
Simulation Studies ◽  
Input Output ◽  
Control Scheme ◽  
Direct Model ◽  
Multivariable Process ◽  
Model Reference Adaptive ◽  
Siso System ◽  
Adaptive Control Scheme

The objective of this paper is to develop a Direct Model Reference Adaptive Control (DMRAC) algorithm for a MIMO process by extending the MIT rule adopted for a SISO system. The controller thus developed is implemented on Laboratory interacting coupled tank process through simulation. This can be regarded as the relevant process control in petrol and chemical industries. These industries involve controlling the liquid level and the flow rate in the presence of nonlinearity and disturbance which justifies the use of adaptive techniques such as DMRAC control scheme. For this purpose, mathematical models are obtained for each of the input-output combinations using white box approach and the respective controllers are developed. A detailed analysis on the performance of the chosen process with these controllers is carried out. Simulation studies reveal the effectiveness of proposed controller for multivariable process that exhibits nonlinear behaviour.

A Study on Concurrency Control Scheme for Scalability of Blockchain

2020 ◽  
Vol 20 (3) ◽  
pp. 71-78
Author(s):  
Yong-Hyeog Kang ◽  
◽  
Wonhyung Park
Keyword(s):  
Concurrency Control ◽  
Control Scheme

An Efficient Congestion Control Scheme for Data Using Tokens in Network

2012 ◽  
Vol 2 (11) ◽  
pp. 104-106
Author(s):  
C.Md.Jamsheed C.Md.Jamsheed ◽  
◽  
D.Surendra D.Surendra ◽  
D.Venkatesh D.Venkatesh
Keyword(s):  
Congestion Control ◽  
Control Scheme
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