A Novel Approach to Power Quality Assessment: Real Time Hardware-in-the-Loop Test Bed

2005 ◽  
Vol 20 (2) ◽  
pp. 1200-1201 ◽  
Author(s):  
Y. Liu ◽  
M. Steurer ◽  
P. Ribeiro
Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4094 ◽  
Author(s):  
Qixiang Yan ◽  
Ibrahim Adamu Tasiu ◽  
Hong Chen ◽  
Yuting Zhang ◽  
Siqi Wu ◽  
...  

Power quality is one of many issues affecting the traction power supply system. Prominent among the causes of poor power quality is voltage low-frequency oscillation (VLFO). In this paper, a fuzzy-based PI (FPI) controller to optimize the performance of the traction line-side converter (TLSC) and suppress the effect of VLFO is proposed. Firstly, the mathematical model of China’s railway high-speed five single-phase TLSC is developed, and then the FPI control unit is designed based on specific requirements. The fuzzy antecedent and consequence rules were generated based on the expert and previous knowledge of TLSC operation. An offline simulation of the proposed control scheme under different loads and parameters is conducted to verify the designed. To validate the model, the traction power supply system (TPS) is built on the field-programmable gate array (FPGA) real-time digital simulator (FPGA-RTDS), while the FPI control algorithm is load on modeling tech rapid control prototyping (RCP) real-time digital controller (RTDC). Hardware-in-the-loop (HIL), and offline simulation studies between current decoupling (PI) control, sliding mode control (SMC), and the proposed control method confirms in addition to excellent dynamic performance; the proposed method can successfully suppress the effect of VLFO.


Author(s):  
Patricio G. Donato ◽  
Alvaro Hernandez ◽  
Marcos A. Funes ◽  
Ignacio Carugati ◽  
Ruben Nieto ◽  
...  

1997 ◽  
Vol 36 (8-9) ◽  
pp. 19-24 ◽  
Author(s):  
Richard Norreys ◽  
Ian Cluckie

Conventional UDS models are mechanistic which though appropriate for design purposes are less well suited to real-time control because they are slow running, difficult to calibrate, difficult to re-calibrate in real time and have trouble handling noisy data. At Salford University a novel hybrid of dynamic and empirical modelling has been developed, to combine the speed of the empirical model with the ability to simulate complex and non-linear systems of the mechanistic/dynamic models. This paper details the ‘knowledge acquisition module’ software and how it has been applied to construct a model of a large urban drainage system. The paper goes on to detail how the model has been linked with real-time radar data inputs from the MARS c-band radar.


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