Design of Fast Real Time Controller for the Dynamic Voltage Restorer Based on Instantaneous Power Theory
International Journal of Energy and Power Engineering
Volume 5, Issue 2-1, March 2016, Pages: 1-6
Received: Aug. 13, 2015;
Accepted: Aug. 14, 2015;
Published: Oct. 12, 2015
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Mohammed Y. Suliman, Department of Electrical Engineering, Technical College, Mosul, Iraq
Sameer Sadoon Al-Juboori, Department of Electronic and Control Engineering, Technical College, Kirkuk, Iraq
The fast variations in the source voltage can affect the performance of the loads such as (a) semiconductor fabrication plants (b) paper mills (c) food processing plants and (d) automotive assembly plants. The common disturbances in the source voltages are the voltage sags or voltage swells this can be due to (i) disturbances arising in the transmission system, (ii) adjacent feeder faults and (iii) fuse or breaker operation. Voltage sags of 10% lasting for 5-10 cycles can result in costly damage in the loads. To mitigate the problems of poor quality power supply, voltage source converters can be connected in series with transmission lines as compensators. These are known as Dynamic Voltage Restorer (DVR) or Static Voltage Restorer. In this paper, a new scheme to control DVR using adaptive neuro fuzzy logic is proposed. In this controller, Takagi-Sugeno fuzzy rules are trained using off-line neuro fuzzy system. Also, instantaneous power theory is used to calculate the phase voltage due to its high accuracy and less computation. The simulation and practical results show that real time application of the proposed controller is possible and robust compared to conventional controllers previously investigated. The experiment results obtained using the dSPACE data acquisition system and Matlab real time toolbox.
Mohammed Y. Suliman,
Sameer Sadoon Al-Juboori,
Design of Fast Real Time Controller for the Dynamic Voltage Restorer Based on Instantaneous Power Theory, International Journal of Energy and Power Engineering. Special Issue: Modeling and Simulation of Electric Power Systems and Smart Grids.
Vol. 5, No. 2-1,
2016, pp. 1-6.
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