Analysis Of ABC Algorithm Based ANFIS Controller For PV Integrated Low Voltage Weak Grid System

@article{1701968,
      author = {S. Sivaranjani, Dr. P. Kannan, Dr. K. Venkataramanan, K. Indhumathi},
      title = {Analysis Of ABC Algorithm Based ANFIS Controller For PV Integrated Low Voltage Weak Grid System},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {3},
      number = {8},
      pages = {196-201},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1701968.pdf},
      abstract = {As renewable energy technology demand increases, the PV system has received great attention. This paper analysis the Adaptive Neuro-Fuzzy Inference System (ANFIS) controller trained by Artificial Bee Colony algorithm (ABC) for grid-connected solar PV system which enhances the performances of the solar grid-connected system by providing constant power output with low disturbances. In this paper, the ANFIS control technique is tested on a single-phase single-stage grid-integrated PV topology with the nonlinear loads. The proposed system is modeled, and the simulation has been carried out in a MATLAB/SIMULINK environment.},
      keywords = {Adaptive Neuro Fuzzy Inference System, Artificial Bee Colony algorithm, Solar and Grid integration, Maximum Power Point Tracking},
      month = {February},
  }