Abstract |
The paper examines application of wavelet transform for voltage dips detection in microgrids withdistributed generation. IEEE13 test grid with added 1.6 MW distribution generators is used forevaluation. Distribution generators are two 0.8 MW doubly-fed induction generators. Matlab/Simulinkenvironment is used for modelling and evaluation of proposed algorithm for voltage dips detection.Six types of fault are examined and conclusions are derived. As a further confirmation of the obtainedresults, authors utilized the existing laboratory setup at the Faculty of Technical Sciences, in order toget as realistic as possible voltage dips signals from the grid, recorded over distribution transformer(small scale distribution transformer). Voltage dips are produced with grid emulator. These signals arethen used for emulation, and analyzed with different wavelet methods. In paper is shown that waveletis not appropriate solution as part of control of distribution generator grid-tie inverter in order to fastdetect voltage dips, if the measurement is performed in place of inverter. None of the wavelets whenusing highest frequency band can't detect voltage dips fast and accurate at this spot in the grid.Solution to this problem can be to use signals that are measured at the connection point of thegenerators to the grid. |