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Tuesday, 7 April 2020

Design and Control of Wind integrated Shunt Active Power Filter to Improve Power Quality


ABSTRACT:   
In this paper wind energy conservation system (WECS) with shunt active power filter (SAPF) is proposed for harmonics elimination, power factor correction, reactive power compensation and grid current balancing. Adaptive neuro  fuzzy inference system (ANFIS) based controller is implemented at WECS side to control the boost converter to achieve MPP and at SAPF sides to minimize voltage variations and enhance power quality. Here, synchronous reference frame (SRF) theory based reference current generation technique is employed in SAPF. The proposed scheme is implemented in MATLAB/Simulink. The results confirm that this method has better performance and can maintain total harmonic distortion (THD) level of the system within the IEEE standard 519.

KEYWORDS:
1.      Shunt active power filter
2.      Synchronous reference frame theory
3.      Wind energy
4.      Power quality
5.       Renewable energy

SOFTWARE: MATLAB/SIMULINK

CIRCUIT DIAGRAM:

                   
Fig.1. Power circuit of WECS integrated SAPF

 EXPERIMENTAL RESULTS:



Fig. 2. Performance of system balanced & nonlinear load

Fig. 3. Harmonics spectrum of grid current

Fig. 4. Harmonics spectrum of load current


Fig. 5. Performance of system unbalanced & nonlinear load

Fig. 6. Harmonics spectrum of grid current

Fig. 7. Harmonic spectrum of load current

Fig. 8. WECS performance under variable wind speed

CONCLUSION:
The topology of a double stage WECS integrated SAPF has been designed and implemented. The proposed controller has two purposes, namely, extracting the maximum power from  the WECS and filtering out the harmonics. Here, a DC-DC  boost converter with an ANFIS based MPPT control algorithm  is developed to track the MPP of WECS. Further, SRF based ANFIS tuned SAPF is also implemented to improve the power quality. The proposed system provides smooth regulation to DC-link capacitor voltage, improves the power factor and system performance during dynamic loading conditions. This strategy brings down the THD level to 4.14 % and 4.68 % in grid currents for balanced and unbalanced nonlinear loading conditions respectively, which meets the IEEE standard 519.

REFERENCES:
[1] J. et al. Carrasco, “Power-Electronic Systems for the Grid Integration of Renewable Energy Sources: A Survey,” IEEE Trans. Ind. Electron., vol. 53, no. 4, pp. 10021016, 2006.
[2] B. Bhattacharya, A., Chakraborty, C., “Shunt Compensation: Reviewing Traditional Methods of Reference Current Generation,” IEEE Ind. Electron. Mag, pp. 3849, 2009.
[3] R. Kumar, P. Chaturvedi, H. O. Bansal, and P. K. Ajmera, “Adaptive Artificial Neural Network Based Control Strategy forShunt Active Power Filter,” Int. Conf. Electr. Power Energy Syst., pp. 194199, 2016.
[4] A. Hoseinpour, S. Masoud Barakati, and R. Ghazi, “Harmonic
reduction in wind turbine generators using a Shunt Active Filter  based on the proposed modulation technique,” Int. J. Electr. Power Energy Syst., vol. 43, no. 1, pp. 14011412, 2012.
[5] M. Boutoubat, L. Mokrani, and M. Machmoum, “Control of a wind energy conversion system equipped by a DFIG for active power generation and power quality improvement,” Renew. Energy, vol.   50, pp. 378386, 2013.