Study of Modeling of Hybrid Energy System for Optimum Power Extraction from the System to the Grid

Authors

  • Ashish Srivastava M. Tech Scholar, Technocrats Institute of Technology, Bhopal, M.P, India
  • Dr. M S Dash Associate Professor, Technocrats Institute of Technology, Bhopal. M.P, India

DOI:

https://doi.org/10.24113/ijoscience.v7i2.361

Abstract

With the growing demand of electricity, deployment of micro grid is becoming an attractive option to meet the energy demands. At present, large-scale wind/solar hybrid system is of great potential for development. The large-scale wind/solar hybrid system is of higher reliability compared with wind power generation alone and solar power generation alone However, a grid-connected micro grid suffers from critical stability problems during a power grid failure. For stable operation of the micro grid during a grid failure. In this paper, the transition stability of the micro grid is examined during a power failure

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References

K. Yamashita, H. Renner, S. M. Villanueva, G. Lammert, P. Aristidou, J. C. Martins, L. -Z. Zhu, L. D. P. Ospina, and T. V. Cutsem, “Industrial recommendation of modeling of inverter-based generators for power system dynamic studies with focus on photovoltaic,” IEEE Power and Energy Technology Systems Journal, vol. 5, no. 1, pp. 1–10, Mar. 2018. DOI: https://doi.org/10.1109/JPETS.2018.2806744

A. M. Khalil and R. Iravani, “Enhanced generic nonlinear and linearized models of wind power plants,” IEEE Transactions on Power Systems, vol. 32, no. 5, pp. 3968–3980, Sep. 2017. DOI: https://doi.org/10.1109/TPWRS.2017.2654346

G. Shahgholian, "Power system stabilizer application for load frequency control in hydro-electric power plant", Engineering Mathematics, 2, No. 1, pp. 21-30, Feb. 2017.

T. Fetouh, M.S. Zaky, "New approach to design SVC-based stabilizer using genetic algorithm and rough set theory", IET Gen., Trans. and Dist., 11, No. 2, pp. 372-382, Jan. 2017. DOI: https://doi.org/10.1049/iet-gtd.2016.0701

O. G ¨ oksu, M. Altin, J. Fortmann, and P. Sørensen, “Field validation of ¨ IEC 61400-27-1 wind generation Type 3 model with plant power factor controller,” IEEE Transactions on Energy Conversion, vol. 31, no. 3, pp. 1170–1178, Sep. 2016. DOI: https://doi.org/10.1109/TEC.2016.2540006

T. Salmi, M. Bouzguenda, A. Gastl, Ahmed Masmoudi, "MATLAB/Simulink Based Modelling of Solar Photovoltaic Cell", International Journal of Renewable Energy Research, vol. 2, no. 2, 2012.

Accardo, L, Fioretto, M, Giannini, G & Marino, P 2006, ‘Techniques of PWM space vector modulation for the reduction of magnetic acoustic noise in traction motors’, International symposium on Power Electronics, Electrical drives, Automation and Motion, Taormina, pp. 1084-1089.

F. Liu, S. Duan, F. Liu, B. Liu, Y. Kang, "A Variable Step Size INC MPPT Method for PV Systems", IEEE Transaction on industrial Electronics, vol. 55, no. 7, pp. 2622-2628, July 2008. DOI: https://doi.org/10.1109/TIE.2008.920550

W. Xiao, N. Ozog, W.G. Dunford, "Topology Study of Photovoltaic Interface for Maximum Power Point Tracking", IEEE Transactions on industrial electronics, vol. 54, no. 3, pp. 1696-1704, June 2007. DOI: https://doi.org/10.1109/TIE.2007.894732

F. Ding, P. Li, B. Huang, F. Gao, C. Ding, W. Chengshan, "Modeling and Simulation of Grid-connected Hybrid Photovoltaic/Battery Distributed Generation System", 2010 China International Conference on Electricity Distribution, pp. 1-10, Sept 2010.

H. Sefidgar, S. A. Gholamian, "Fuzzy logic control of wind turbine system connection to PM synchronous generator for maximum power point tracking", Int. J. Intelligent Syst. and Appl., vol. 07, 2014. DOI: https://doi.org/10.5815/ijisa.2014.07.04

S. Singh, L. Mathew, S.L. Shimi, "Design and simulation of intelligent control MPPT technique for PV module using MATLAB/ SIMSCAPE", Int. J. of Adv. Res. in Elect. Electro. and Instr. Eng., vol. 2, pp. 2278-8875, 2013.

N. A. Kamarzaman, C. W. Tan, "A comprehensive review of maximum power point tracking algorithms for photovoltaic systems", Renewable and Sustainable Energy Reviews, vol. 37, pp. 585-598, 2014. DOI: https://doi.org/10.1016/j.rser.2014.05.045

A. Anurag, S. Bal, S. Sourav, M. Nanda, "A comprehensible review of maximum power point tracking techniques for photovoltaic systems", Int. J. of sustainable energy, vol. 35, pp. 478-501, 2016. DOI: https://doi.org/10.1080/14786451.2014.918979

M.-F. Tsai, C.-S. Tseng, Y.-H. Hung, "A novel MPPT control design for wind-turbine generation systems using neural network compensator", IECON 2012-38th Annual Conf. on IEEE Indust. Elect. Soc., pp. 3521-3526, 2012. DOI: https://doi.org/10.1109/IECON.2012.6389333

M. A. Abdullah, A. H. M. Yatim, C. Wei Tan, "A study of maximum power point tracking algorithms for wind energy system", IEEE First Conf. on Clean Energy and Tech. CET, pp. 321-326, 2011. DOI: https://doi.org/10.1109/CET.2011.6041484

Y. Xia, K. H. Ahmed, B. W. Williams, "A new maximum power point tracking technique for permanent magnet synchronous generator based wind energy conversion system", IEEE Trans. on power electronics, vol. 26, pp. 3609-3620, 2011. DOI: https://doi.org/10.1109/TPEL.2011.2162251

E. M. Natsheh, A. Albarbar, "Hybrid power systems energy controller based on neural network and fuzzy logic", Smart Grid and Renewable Energy, vol. 4, pp. 187-197, 2013. DOI: https://doi.org/10.4236/sgre.2013.42023

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Published

02/26/2021

How to Cite

Srivastava, A., & Dash , D. M. S. (2021). Study of Modeling of Hybrid Energy System for Optimum Power Extraction from the System to the Grid. SMART MOVES JOURNAL IJOSCIENCE, 7(2), 19–24. https://doi.org/10.24113/ijoscience.v7i2.361

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