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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
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CIRCUIT DIAGRAM:
Fig.1. Power circuit of WECS integrated SAPF
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EXPERIMENTAL RESULTS:
Fig. 2. Performance of system balanced & nonlinear load
Fig. 3. Harmonics spectrum of grid current
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Fig. 4. Harmonics spectrum of load current
Fig. 5. Performance of system unbalanced & nonlinear load
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Fig. 6. Harmonics spectrum of grid current
Fig. 7. Harmonic spectrum of load current
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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.
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ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245 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. 1002–1016, 2006. [2] B. Bhattacharya, A., Chakraborty, C., “Shunt Compensation: Reviewing Traditional Methods of Reference Current Generation,” IEEE Ind. Electron. Mag, pp. 38–49, 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. 194–199, 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. 1401–1412, 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. 378–386, 2013.
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