Modeling of Control and Power Management of a Hybrid Wind-Solar System Using Optimization Technique

Nathan L. Sabari; L. Ashok Kumar; B. Vaikundaselvan; Krishna S. Ravi

doi:10.15866/iremos.v6i5.2623

Modeling of Control and Power Management of a Hybrid Wind-Solar System Using Optimization Technique

Nathan L. Sabari^(1*), L. Ashok Kumar⁽²⁾, B. Vaikundaselvan⁽³⁾, Krishna S. Ravi⁽⁴⁾

^(*) Corresponding author

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Abstract

A probabilistic methodology is described in this paper to determine an optimal design and implementation of a multi source hybrid like Wind, Photovoltaic (PV) stand alone system with energy management strategy. Hybrid energy system is an excellent solution for electrification of remote rural areas where the grid extension is difficult and not economical. Hybrid (Wind-PV) system are highly efficient and requires very low maintenance. An average model of a hybrid Wind-PV generating system is presented.
The Model is important for synthesizing the control strategy and analyzing the dynamic behavior of the system. The main objective is to provide 24 hours demand quality power in remote communities. The method of investigation concerns with the definition of the system topology, interconnection of the various sources with maximum energy transfer, optimum control and energy management. The proposed energy management strategy is simulated for Very Low Voltage (VLV) node connection and its coupled with DC loads in MATLAB/Simulink using the Fuzzy Logic Controller (FLC). The FLC takes the input from Solar (irradiation), Wind (speed) and the battery and controls the respective subsystem which formulates into different operational modes of energy management. The role of Fuzzy threshold controller is to adjust continuously the threshold value for optimal performance based on expected wind, solar conditions and batter voltage. It is shown that, when the Fuzzy Logic Controller is used.The proposed Direct Current (DC) bus voltage regulation strategy with different modes of operation has fast response and efficient operation which leads to a reduced operating cost. The optimal power transfer from the source to load is based on mechanism which are used to control power, voltage and current and these parameters are used to regulate the DC bus voltage to a fixed value.
The various models with the output waveforms are represented and discussed. Finally, simulation results are presented to verify the effectiveness and accuracy of the proposed system.

Keywords

Control and Energy Management System; Fuzzy Logic Controller; Hybrid Wind-Solar System; Photovoltaic Conversion; Power Modeling; Wind Conversion System

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References

Nelson DB, Nehrir MH, Wang C. Unit sizing and cost analysis of stand-alone hybrid wind/PV/fuel cell power generation systems.Renewable Energy,Vol.31:1641–56,2006

R. Ramakumar, J. J. Bzura, J. Eyer, J. Gutierrez-Vera, T. E. Hoff, C. Herig, J. Iannucci, and M. R. Milligan: Renewable technologies and distribution systems, IEEE Power Eng. Rev. :5–14, November 1999.

Elhadidy M.A, Shaahid SM. Decentralized stand-alone hybrid wind–diesel power systems to meet residential loads of hot coastal regions. Energy Conversion and Management Vol.46:2501–13,2005

S. Jain, and V. Agarwal, An Integrated Hybrid Power Supply for Distributed Generation Applications Fed by Non conventional Energy Sources, IEEE Transactions on Energy Conversion, Vol. 23, June 2008.

Himri Y, Stambouli AB, Draoui B, Himri S. Techno economical study of hybrid power system for a remote village in Algeria. Energy, Vol.33:1128–36, 2008.

Kumar A, Kandpal TC. Renewable energy technologies for irrigation water pumping in India: a preliminary attempt towards potential estimation. Energy, Vol.32:861–70, 2007.

L. Pang, H. Wang, Y. Li, J. Wang, and Z. Wang, “Analysis of Photovoltaic Charging System Based on MPPT,” Proceedings of Pacific-Asia Workshop on Computational Intelligence and Industrial Application 2008 (PACIIA ‘08), Dec 2008, pp. 498-501.

S. Diaf, M. Belhamel, M. Haddadi, A. Louche.Technical and economic assessment of hybrid photovoltaic/wind system with battery storage in Corsica Island. Energy Policy, Vol.36:743–754, 2008.

N. A. Ahmed, M. Miyatake, and A. K. Al-Othman, Power fluctuations suppression of stand-alone hybrid generation combining solar photovoltaic/wind turbine and fuel cell systems, in Proc. of Energy Conversion and Management, Vol. 49 : 2711-2719, October 2008.

Thanaa F. El-Shatter *, Mona N. Eskander, Mohsen T. El Hagry. Energy flow and management of a hybrid wind/PV/fuel cell generation system, Energy Conversion and Management, Vol. 47:1264–1280, 2006.

J. G. Slootweg, S. W. H. de Haan, H. Polinder and W. L. Kling. "General Model for Representing Variable Speed Wind Turbines in Power System Dynamics Simulations". IEEE Transactions on Power Systems, Vol. 18, (issue 1), 2003.

S. Wakao, R. Ando, H. Minami, F. Shinomiya, A. Suzuki, M. Yahagi,S. Hirota, Y. Ohhashi, and A. Ishii, “Performance analysis of the PV/wind/wave hybrid power generation system,” in Proc. IEEE World Conf. Photo volt. Energy Conv., pp. 2337–2340, 2003.

B.S. Borowy and Z.M. Salameh, “Methodology for optimally sizing the combination of a battery bank and PV array in a wind/PV hybrid system,” IEEE Trans. Energy Conv., Vol.11, (Issue 2):367–375, Jun.1996.

Kaldellis J.K, Zafirakis D. Optimum energy storage techniques for the improvement of renewable energy sources-based electricity generation economic efficiency. Energy Vol.32:2295–305, 2007.

De Broe, A.M., Drouilhet, S., and Gevorgian, V.: A peak power tracker for small wind turbines in battery charging applications, IEEE Trans. Energy Conv,Vol.14,(Issue 4):1630-1635,1999.

S.J.Chiang, K.T.Chang, C.Y.Yen, Residential photovoltaic energy storage system, IEEE Trans. Ind. E lectron.Vol.45, (Issue 3):385–394, Jun. 1998.

K. H. Hussein, I. Muta, T. Hoshino, and M. Osakada, Maximum photovoltaic power tracking: An algorithm for rapidly changing atmospheric conditions, Proc. Inst. Elect. Eng., Vol.142, (issue 1):59–64, 1995.

Mehdi Dali, Jamel Belhadj, Xavier Roboam – "Theoretical and Experimental Study of Control and Energy Management of a Hybrid Wind-Photovoltaic System”, 8th IEEE Conference on Systems, Signals & Devices, pp.456-463, Feb 2011.

M A. S. Masoum, S. M. Mousavi Badejani, and E. F.Fuchs.: Microprocessor-Controlled New Class of Optimal Battery Chargers for Photovoltaic Applications, IEEE Trans. Energy Conversion, vol. 19, no. 3, September 2004.

Ardakani, F.J., Riahy, G.H., Abedi, M., Optimal sizing of a stand-alone hybrid wind/PV/battery system considering reliability indices accompanied by error propagation assessment, (2010) International Review of Electrical Engineering (IREE), 5 (2), pp. 748-757.

Belfkira, R., Barakat, G., Nichita, C., Sizing optimization of a stand-alone hybrid power supply unit: Wind/PV system with battery storage, (2008) International Review of Electrical Engineering (IREE), 3 (5), pp. 820-828.

Abbassi, R., Chebbi, S., Energy management strategy for a grid-connected wind-solar hybrid system with battery storage: Policy for optimizing conventional energy generation, (2012) International Review of Electrical Engineering (IREE), 7 (2), pp. 3979-3990.

Niassati, N., Mohseni, M., Afjei, E., A novel sensor-less method of MPPT for wind power conversion systems, (2012) International Review of Automatic Control (IREACO), 5 (2), pp. 187-194.

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