Kinhal, V.G., Agarwal, P. and Gupta, H.Q. (2011) Performance Investigation of Neural-Network-Based Unified Power-Quality Conditioner. IEEE Transactions on Power Delivery, 26, 431-437.
http://dx.doi.org/10.1109/TPWRD.2010.2050706

has been cited by the following article:

• TITLE: Intelligent Controller for UPQC Using Combined Neural Network

  AUTHORS: Ragavan Saravanan, Subramanian Manoharan

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

  JOURNAL NAME: Circuits and Systems, Vol.7 No.6, May 11, 2016

  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.