Neural learning algorithm based power quality enhancement for three phase three wire distribution system utilizing shunt active power filter strategy

Author(s):  
A. Senthil Kumar ◽  
P. Ajay-D-Vimal Raj
Author(s):  
Siddhant Tiwari ◽  
◽  
Balram Yadav ◽  
Indrajeet Kumar ◽  
◽  
...  

This thesis addresses the Unified Power Quality Conditioner (UPQC) which is a major custom power solutions capable for load balancing, power factor-correction, voltage regulation, voltage and current harmonics mitigation in a three-phase three-wire distribution system for different combinations of linear, non-linear and dynamic loads. The unit template technique (UTT) is used to get the reference signals for series active power filter and shunt active power filter which utilizes two closed loop PI controllers. The design of three- phase three-wire UPQC includes the design of shunt controller (SHUC) and series controller (SERC).


2007 ◽  
Vol 35 (12) ◽  
pp. 1331-1344 ◽  
Author(s):  
Abdelmadjid Chaoui ◽  
Jean Paul Gaubert ◽  
Fateh Krim ◽  
Gérard Champenois

This paper presents the simulation-based study and results of a three-phase shunt active power filter (SAPF) for power quality improvement. The power quality of the power systems is degraded because of the presence of non-linear loads at the consumer end. The SAPF can reduce the impact of harmonics caused by the non-linear loads. The analyzed SAPF system is modeled and simulated using MATLAB-Simulink workspace. The ultimate goal of this study is to improve the total harmonic distortion of the system as per the standards defined by IEEE-519.


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