• Title of article

    Frequency and Voltage Control of an Inverter-Based DG Using Adaptive Fuzzy-Sliding Mode Controller

  • Author/Authors

    Limouchi, E Faculty of Electrical and Computer Engineering - University of Kashan, Iran , Taher, S.A Faculty of Electrical and Computer Engineering - University of Kashan, Iran , Ganji, B Faculty of Electrical and Computer Engineering - University of Kashan, Iran

  • Pages
    10
  • From page
    221
  • To page
    230
  • Abstract
    Background and Objectives: The microgrid voltage and frequency are strongly affected by active and reactive load fluctuations. Load change in microgrid may result in the lack of balance among generation and consumption and as a result change in output voltage and frequency. If load change is great enough, distribution generation cannot stabilize the microgrid. The main objective of this article is to control the distribution of active and reactive power related to an inverter-based distributed generation (DG) in the microgrid using intelligent methods. Methods: In this study, frequency and voltage of an active generator connected to the microgrid is also controlled with applying adaptive the fuzzy sliding mode control (AFSMC) and the droop control Methods To solve the problems related to design of the sliding mode controller, a compensator control system is suggested. A rule based on the Lyapunov stability theory is also introduced to ensure the stability of closed loop system. Results: Using MATLAB/SIMULINIK software, simulation results are provided for the proposed controller and its performance under different conditions for a typical power system is evaluated. Simulation of the considered power system is done to track different values of active and reactive power. Conclusion: The provided simulation results show the effectiveness of suggested method to regulate active and reactive power and to control voltage and frequency of the microgrid.
  • Keywords
    Microgrid , Distributed generation , Frequency control , voltage control
  • Journal title
    Journal of Electrical and Computer Engineering Innovations (JECEI)
  • Serial Year
    2019
  • Record number

    2509379