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Second-Order Sliding Mode Control of a Smart Inverter for Renewable Energy System


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DOI: https://doi.org/10.15866/iree.v9i6.5368

Abstract


In the paper the authors proposes a Second-Order Super-Twisting Integral Sliding Mode Control for a Grid-connected Double-Stage AC-DC/DC-AC Power Converter (DSACPC) of a renewable electrical energy system. The DSACPC consists of a Permanent Magnet Synchronous Generator (PMSG) directly connected to the renewable electric source, a generator-side controlled rectifier and a grid-side inverter. The proposed control strategy applied both to two stages is able to maximize the extracted energy from the renewable source, while to regulate the DC-link voltage and to achieve unity power factor and low distortion currents. The employed control strategy can regulate both the reactive and active power given to the utility grid independently and consents to the system to be enclosed in a smart-grid thanks to its performance. In fact the system giving the desired active power to the grid can be used also as a reactive power compensator in grid balanced conditions or as a system of current harmonic rejection in the case of unbalanced conditions of the grid. For the formulation of the control a sliding-Mode Observer is designed. Simulations and experimental results prove the high efficiency and high performance of the full proposed control system.
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Keywords


Renewable Energy; Double-Stage Ac-Ac Power Converter; Second-Order Integral Sliding Mode Control; Boost-Type PWM Rectifier; Grid-Connected Inverter; Sliding Mode Observer; Dc-Link Voltage Control; Instantaneous Active and Reactive Power Generation

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References


Zhuang Xu, Pengyao Ge aqnd Dianguo Xu, High Performance Control of a Permanent Magnet Wind Power Generation System Using an Adaptive Sliding Observer, International Conference on Power Electronics and Drive System (2009), PEDS 2009, pp. 67-71, 2009.
http://dx.doi.org/10.1109/peds.2009.5385921

V. Utkin, J. Gulder, J. Shi, Sliding Mode Control in Electromechanical Systems, Taylor & Frnacis, pp. 252-253, 1999.

X. Hao, T. Liu, X. Yang, L. Huang, A Dicrete-Time Integral Sliding-Mode Controller with Nonlinearity Compensation for Three-Phase Grid-connected Photovoltaic Inverter, The 7th IEEE International Power Electrocnics and Motion Control Conference – ECCE Asia, 2012.
http://dx.doi.org/10.1109/ipemc.2012.6258953

L. Fridman and A. Levant, Sliding Mode in Engineering, Marcel Dekker Inc., Chap. 3: Higher-Order Sliding Modes,2002.
http://dx.doi.org/10.1201/9780203910856.ch3

Fan, B., Pu, J., Liu, G., A Novel study of direct power control of three-phase voltage source PWM rectifier based on virtual flux, (2013) International Review of Electrical Engineering (IREE), 8 (1), pp. 60-64.

Y. Quan, H. Nian, Multi-resonant Based Sliding Mode Control of Grid-Connected Converter Under Distorted Grid Conditions, Energy Conversion Congress and Exposition (ECCE), pp. 1702-1708, 2013.
http://dx.doi.org/10.1109/ecce.2013.6646912

Benbouzid, M., Beltran, B., Amirat, Y., Breton, S., Sensorless control of doubly-fed induction generator-based wind turbines using a high-order sliding mode observer, (2014) International Review of Electrical Engineering (IREE), 9 (1), pp. 49-55.

Damiano, A., Gatto, G., Marongiu, I., Meo, S., Perfetto, A., Serpi, A., A direct-drive wind turbine control for a wind power plant with an internal DC distribution system, (2012) International Review of Electrical Engineering (IREE), 7 (4), pp. 4845-4856.

Gatto, G., Marongiu, I., Meo, S., Perfetto, A., Serpi, A., Predictive control of brushless DC generators, (2011) International Review of Electrical Engineering (IREE), 6 (5), pp. 2368-2375.

Dhayalini, K., Sathiyamoorthy, S., Christober Asir Rajan, C., Evolutionary programming based optimal wind and thermal generation dispatch with valve point effect, (2014) International Review on Modelling and Simulations (IREMOS), 7 (4), pp. 598-604.
http://dx.doi.org/10.15866/iremos.v7i4.1386

Kerrouche, K.D., Mezouar, A., Boumediene, L., Belgacem, K., Modeling and optimum power control based DFIG wind energy conversion system, (2014) International Review of Electrical Engineering (IREE), 9 (1), pp. 174-185.

Peter, S.E., Kulkarni, S., Jacob Raglend, I., Simon, S.P., Wavelet based spike propagation neural network (WSPNN) for wind power forecasting, (2013) International Review on Modelling and Simulations (IREMOS), 6 (5), pp. 1513-1522.

Singh, N., Agrawal, V., A review on power quality enhanced converter of permanent magnet synchronous wind generator, (2013) International Review of Electrical Engineering (IREE), 8 (6), pp. 1681-1693.


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