Nayar, Priya ; Singh, Bhim ; Mishra, Sukumar (2014) Neural network based enhancement of power quality in distribution system In: IEEE 6th India International Conference on Power Electronics (IICPE), 2014, 8-10 Dec. 2014, Kurukshetra, India.
Full text not available from this repository.
Official URL: http://ieeexplore.ieee.org/document/7115752/
Related URL: http://dx.doi.org/10.1109/IICPE.2014.7115752
Abstract
An application of artificial intelligence is presented in solving power quality problems using a distribution static compensator (DSTATCOM) in the distribution system involving lagging pf loads. A set of three nonlinear neurons is used to obtain the three phase compensating currents. Another set of three layered feed-forward neural network controls the compensating currents. The developed model works accurately under varying load conditions and provides good dynamic response to the step changes in the load currents. A real time performance is achieved using SIMULINKR/Sim-powersystem (SPS) toolboxes and simulated results adhere to the IEEE-519 standard for improvement of power quality.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Source: | Copyright of this article belongs to Institute of Electrical and Electronics Engineers. |
| Keywords: | Power Factor Regulation; Power Quality; DSTATCOM; ANN; PCC |
| ID Code: | 110375 |
| Deposited On: | 04 Aug 2017 12:13 |
| Last Modified: | 04 Aug 2017 12:13 |
Repository Staff Only: item control page
