Arya, Sabha Raj ; Singh, Bhim ; Chandra, Ambrish ; Al-Haddad, Kamal (2012) Control of shunt custom power device based on Anti-Hebbian learning algorithm In: IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, 25-28 Oct. 2012, Montreal, QC, Canada.
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Official URL: http://ieeexplore.ieee.org/document/6388592/
Related URL: http://dx.doi.org/10.1109/IECON.2012.6388592
Abstract
This paper presents an implementation of shunt custom power device namely distribution static compensator (DSTATCOM) using a neural network based Anti Hebbian control algorithm for power quality improvement under linear/nonlinear type consumer loads. Learning based Anti-Hebbian control algorithm is used for extraction of fundamental active and reactive power components of load currents in terms of weighted signals which are used for deriving the reference source currents. This control algorithm is implemented on a developed DSTATCOM using a DSP for reactive power compensation, harmonic elimination and load balancing. Simulation and test results demonstrate satisfactory performance of proposed control algorithm for the control of DSTATCOM under time varying loads.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Source: | Copyright of this article belongs to Institute of Electrical and Electronics Engineers. |
| Keywords: | ZVR; Neural Network; DSTATCOM; Reactive Power Compensation; Load Balancing; Harmonics; PFC |
| ID Code: | 109166 |
| Deposited On: | 03 Aug 2017 09:41 |
| Last Modified: | 03 Aug 2017 09:41 |
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