Advertisement

Power Quality Improvement in a Grid-Tied SPV System Using Fractional-Order Proportional Integral Controller

  • Pankaj GakharEmail author
  • Manoj Gupta
Conference paper
  • 39 Downloads
Part of the Algorithms for Intelligent Systems book series (AIS)

Abstract

In a grid-connected solar PV system, a control strategy is required for energy optimization as well as for providing clean electric power to the utility grid. This paper aims at the dynamic current control strategy by employing a fractional-order proportional integral controller for the purpose of improvement in the quality of power in a grid-coupled solar PV system. The strategy provides the liberty for independently controlling the real power (P) and reactive power (Q) flow from solar array to the utility grid. An entire investigation of the performance of the grid-coupled solar photovoltaic system has been done utilizing MATLAB/Simulink environment. The results from simulation show the power quality improvement by reducing the THD, i.e., total harmonic distortion, and also, the effectiveness of a fractional-order proportional integral controller (FO-PI) in the control strategy has been validated by comparing the results obtained by conventional proportional integral (PI) controller. The gain scheduling of both the controller has been done using adaptive genetic algorithm.

Keywords

Power quality FO-PI controller Grid-connected PV Power management 

References

  1. 1.
    Statista (2016) Forecast of demand for solar photovoltaic power globally from 2007 to 2020Google Scholar
  2. 2.
    Rey-Boue AB, García-Valverde R, Ruz-Vila F, Torrelo-Ponce JM (2012) An integrative approach to the design methodology for 3-phase power conditioners in photovoltaic grid-connected systems. Energy Convers Manage 56:80–95CrossRefGoogle Scholar
  3. 3.
    Gupta M, Kumar R (2014) Detection of power quality disturbances using symbolic dynamics. In: International conference on recent advances and innovations in engineering (ICRAIE-2014), Jaipur, pp 1–8Google Scholar
  4. 4.
    Savakhande VB, Bhattar CL, Bhattar PL (2017) Voltage-lift DC-DC converters for photovoltaic application-a review. In: 2017 international conference on data management, analytics and innovation (ICDMAI), Pune, pp 172–176Google Scholar
  5. 5.
    Lavanya A, Navamani JD, Vijayakumar K, Rakesh R (2016) Multi-input DC-DC converter topologies-a review. In: 2016 international conference on electrical, electronics, and optimization techniques (ICEEOT), Chennai, pp 2230–2233Google Scholar
  6. 6.
    Akbar SM, Hasan A (2018) Review of high voltage DC/DC modular multilevel converters. In: 2018 15th international conference on smart cities: improving quality of life using ICT & IoT (HONET-ICT), Islamabad, pp 46–50Google Scholar
  7. 7.
    Yang B, Li W, Zhao Y, He X (2010) Design and analysis of a grid-connected photovoltaic power system. IEEE Trans Power Electron 25(4):992–1000.  https://doi.org/10.1109/tpel.2009.2036432CrossRefGoogle Scholar
  8. 8.
    Prakash SL, Arutchelvi M, Sharon SS (2015) Simulation and performance analysis of MPPT for single stage PV grid connected system. In: 2015 IEEE 9th international conference on intelligent systems and control (ISCO), Coimbatore, pp 1–6Google Scholar
  9. 9.
    Errouissi R, Al-Durra A, Muyeen SM (2016) A robust continuous-time MPC of a DC–DC boost converter interfaced with a grid-connected photovoltaic system. IEEE J Photovoltaics 6(6):1619–1629CrossRefGoogle Scholar
  10. 10.
    Vighetti S, Ferrieux J, Lembeye Y (2012) Optimization and design of a cascaded DC/DC converter devoted to grid-connected photovoltaic systems. IEEE Trans Power Electron 27(4):2018–2027CrossRefGoogle Scholar
  11. 11.
    Killi M, Samanta S (2015) Modified perturb and observe MPPT algorithm for drift avoidance in photovoltaic systems. IEEE Trans Ind Electron 62(9):5549–5559CrossRefGoogle Scholar
  12. 12.
    Liu M, Huang J, Dong Y, Li H (2016) Steady-state control performance modeling and simulation analysis for grid-connected PV inverter. In: 2016 China international conference on electricity distribution (CICED), Xi’an, pp 1–4Google Scholar
  13. 13.
    Jianhua W, Jing Z, Longfei L, Cong T, Le Y (2012) Predictive control based on analytic model for PV grid-connected inverters. In: 2012 24th Chinese control and decision conference (CCDC), Taiyuan, pp 4295–4299Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Electrical Engineering, School of Engineering and TechnologyPoornima UniversityJaipurIndia

Personalised recommendations