Adaptive Signal Selection of Wide-Area Damping Controllers Under Various Operating Conditions

2018 ◽  
Vol 14 (2) ◽  
pp. 639-651 ◽  
Author(s):  
Tossaporn Surinkaew ◽  
Issarachai Ngamroo
Keyword(s):  
Operating Conditions ◽  
Wide Area ◽  
Signal Selection ◽  
Damping Controllers ◽  
Adaptive Signal ◽  
Selection Of

Design of Filter based Wide Area Damping Controllers in Power System

2018 ◽  
Vol 19 (2) ◽  
Author(s):  
Mahendra Bhadu ◽  
Nilanjan Senroy
Keyword(s):  
Power Systems ◽  
Power System ◽  
Random Noise ◽  
System Stability ◽  
Wide Area ◽  
Analog Filter ◽  
Process Noise ◽  
Damping Controllers ◽  
Wide Area Damping Controller ◽  
Selection Of

AbstractIn this paper, the concept of analog filter circuit is used for designing of wide area damping controller (WADC) in power system. The designed continuous mode filter based WADC is robust enough to deal with the problem of imperfect communication medium, which include process noise, measurement noise and signal latency in wide area remote signal. Residue method is used for the selection of wide area control signal and controller location. Modelling of imperfect communication network is done using Pade approximation and by inserting Gaussian random noise. The effectiveness of filter based WADC as a power system stability agent is assessed in the frequency domain using two typical test power systems and via appropriate time domain simulations based upon the non-linear model on MATLAB/Simulink software platform.

Adaptation Application to Engine Modelling

2007 ◽  
Author(s):  
Jude Iyinbor
Keyword(s):  
Measurement Data ◽  
Engine Performance ◽  
Performance Model ◽  
Operating Conditions ◽  
Adaptation Process ◽  
Design Point ◽  
Component Map ◽  
Important Measurement ◽  
Unknown Component ◽  
Selection Of

The optimisation of engine performance by predictive means can help save cost and reduce environmental pollution. This can be achieved by developing a performance model which depicts the operating conditions of a given engine. Such models can also be used for diagnostic and prognostic purposes. Creating such models requires a method that can cope with the lack of component parameters and some important measurement data. This kind of method is said to be adaptive since it predicts unknown component parameters that match available target measurement data. In this paper an industrial aeroderivative gas turbine has been modelled at design and off-design points using an adaptation approach. At design point, a sensitivity analysis has been used to evaluate the relationships between the available target performance parameters and the unknown component parameters. This ensured the proper selection of parameters for the adaptation process which led to a minimisation of the adaptation error and a comprehensive prediction of the unknown component and available target parameters. At off-design point, the adaptation process predicted component map scaling factors necessary to match available off-design point performance data.

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