Grid-Connected PV System with Reactive Power Management and an Optimized SRF-PLL Using Genetic Algorithm

Bashar Aldbaiat, Mutasim Nour, Eyad Radwan, Emad Awada

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)
102 Downloads (Pure)


This paper presents a two-stage grid-connected PV system with reactive power management capability. The proposed model can send phase-shifted current to the grid during a low-voltage ride through (LVRT) to recover the voltage levels of the grid’s feeders. The novelty of the proposed algorithm, unlike the common methods, is that it does not need to disable the maximum power point tracking (MPPT) state while managing active and reactive power injection simultaneously. Moreover, the new method promotes a safety factor by offering overcurrent protection to the PV inverter. The phase-locked loop based on the synchronous reference frame (SRF-PLL) is optimized using a genetic algorithm (GA). The settling time of SRF-PLL’s step response is minimized, and the frequency dynamics are improved to enhance synchronization during LVRT. The system’s performance is tested and verified using MATLAB/Simulink simulations. The obtained results prove the effectiveness of the proposed control algorithm in managing reactive power interventions. The optimized phase-locked loop shows robust performance and is compared to the conventional low-gain PLL to spot the enhancement.

Original languageEnglish
Article number2177
Issue number6
Publication statusPublished - 16 Mar 2022


  • genetic algorithm
  • grid-connected PV system
  • phase-locked loop
  • reactive power compensation

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering


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