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Artificial intelligent controller-based power quality improvement for microgrid integration of photovoltaic system using new cascade multilevel inverter

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Abstract

Nowadays, grid-connected photovoltaic (PV) power system is quite popular in many countries. For grid-connected PV power system, to achieve maximum power and good power quality of the system are considered as big challenges. In order to achieve this, artificial intelligent (AI) controller-based maximum power point tracking (MPPT) algorithm has been investigated for PV system as well as a new cascade multilevel inverter (MLI) is proposed for grid integration of PV system. The proposed cascade MLI has been designed with a smaller number of power electronic switches and it can be operated at asynchronous voltage sources, which is most adaptable for PV system. This proposed inverter can reduce the total harmonic distortion (THD) at output side by means of increasing the output voltage level with this power quality of the system has been improved. The microgrid integration of proposed inverter has been controlled by using AI-based voltage source controller and this proposed system is designed and simulated in MATLAB environment at various weather conditions and loading conditions. Finally, prototype model has been developed in laboratory and evaluating its performance. The simulation results and prototype results were verified with IEEE 1547 standard that proves the proposed system effectiveness.

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References

  • Anandhakumar G, Venkateshkumar M, Shankar P (2013) Intelligent controller based MPPT method for the photovoltaic power system. In: 2013 international conference on human computer interactions (ICHCI), Chennai, pp 1–6

  • Babaei E, Hosseinzadeh MA, Sarbanzadeh M, Cecati C (2016a) A new basic unit for cascaded multilevel inverters with reduced number of power electronic devices. In: 2016 7th power electronics and drive systems technologies conference (PEDSTC), Tehran, pp 185–190

  • Babaei E, Sarbanzadeh M, Hosseinzadeh MA, Buccella C (2016b) A new topology for cascaded multilevel inverters with reduced number of power electronic switches. In: 2016 7th power electronics and drive systems technologies conference (PEDSTC), Tehran, pp 165–170

  • Chen K et al (2017) Cascaded iH6 multilevel inverter with leakage current reduction for transformerless grid-connected photovoltaic system. In: 2017 IEEE 12th international conference on power electronics and drive systems (PEDS), Honolulu, HI, pp 613–617

  • Christina JR, Pradeep J (2016) Design and implementation of wind energy based improved positive output super-lift Luo converter. In: 2016 second international conference on science technology engineering and management (ICONSTEM), Chennai, pp 287–292

  • Deshmukh NB, Thombare RD, Jadhav PT, More DS (2015) MISO Luo DC–DC converter for renewable energy applications. In: 2015 international conference on energy systems and applications, Pune, pp 63–68

  • Hemanand T, Subramaniam NP, Venkateshkumar M (2018) Comparative analysis of intelligent controller based microgrid integration of hybrid PV/wind power system. J Ambient Intell Human Comput. https://doi.org/10.1007/s12652-018-0961-6

    Article  Google Scholar 

  • Nath SA, Pradeep J (2016) PV based design of improved positive output super-lift Luo converter. In: 2016 second international conference on science technology engineering and management (ICONSTEM), Chennai, pp 293–297

  • Silva FA (2013) Advanced DC\/AC inverters: applications in renewable energy (Luo, F.L. and Ye, H.; 2013) [book news]. IEEE Ind Electron Mag 7(4):68–69

    Article  Google Scholar 

  • Venkateshkumar M (2019a) AI based PV microgrid system. https://www.mathworks.com/matlabcentral/fileexchange/71091-ai-based-pv-microgrid-system. MATLAB Central File Exchange. Accessed 27 Dec 2019

  • Venkateshkumar M (2019b) Intelligent controller based hybrid PV/wind power system. https://www.mathworks.com/matlabcentral/fileexchange/71010-intelligent-controller-based-hybrid-pv-wind-power-system. MATLAB Central File Exchange. Accessed 27 Dec 2019

  • Venkateshkumar M (2019c) Fuzzy controller based MPPT for 210 W PV module. https://www.mathworks.com/matlabcentral/fileexchange/71094-fuzzy-controller-based-mppt-for-210w-pv-module. MATLAB Central File Exchange. Accessed 27 Dec 2019

  • Venkateshkumar M (2019d) AI based power management of grid connected renewable energy. https://www.mathworks.com/matlabcentral/fileexchange/67983-ai-based-power-management-of-grid-connected-renewable-energy. MATLAB Central File Exchange. Retrieved 21 Dec 2019

  • Venkateshkumar M, Raghavan R (2015) Fuel cell power penetration into AC distribution grid by using new cascade multilevel inverter with minimum number of switches. In: 2015 international conference on smart technologies and management for computing, communication, controls, energy and materials (ICSTM), Chennai, pp 568–574

  • Venkateshkumar M, Raghavan R, Kumarappan N (2015) Design of a new multilevel inverter standalone hybrid PV/FC power system. Fuel Cells 15:862–875

    Article  Google Scholar 

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Correspondence to I. Mahendravarman.

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Mahendravarman, I., Elankurisil, S.A., Venkateshkumar, M. et al. Artificial intelligent controller-based power quality improvement for microgrid integration of photovoltaic system using new cascade multilevel inverter. Soft Comput 24, 18909–18926 (2020). https://doi.org/10.1007/s00500-020-05120-2

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  • DOI: https://doi.org/10.1007/s00500-020-05120-2

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