Intelligent Controller for UPQC Using Combined Neural Network

Ragavan Saravanan^1*, Subramanian Manoharan²

¹Christian College of Engineering and Technology Oddachatram, Tamilnadu, India.
²Thiagarajar College of Engineering Madurai, Tamil Nadu, India.

DOI: 10.4236/cs.2016.76057                

Abstract

The Unified Power Quality Conditioner (UPQC) plays an important role in the constrained delivery of electrical power from the source to an isolated pool of load or from a source to the grid. The proposed system can compensate voltage sag/swell, reactive power compensation and harmonics in the linear and nonlinear loads. In this work, the off line drained data from conventional fuzzy logic controller. A novel control system with a Combined Neural Network (CNN) is used instead of the traditionally four fuzzy logic controllers. The performance of combined neural network controller compared with Proportional Integral (PI) controller and Fuzzy Logic Controller (FLC). The system performance is also verified experimentally.

Keywords

Unified Power Quality Conditioner (UPQC), Combined Neural Network (CNN) Controller, Fuzzy Logic Controller (FLC), Total Harmonic Distortion (THD)

Conflicts of Interest

The authors declare no conflicts of interest.

References

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