Power Quality problems, which have become an
important consumer issue in recent years, are defined as changes in voltage,
current, or frequency in the power system. Among the factors affecting energy
quality in grid-connected PV systems are island mode operation, current and
voltage harmonics, transients, flicker, interruption, DC offset, notches,
frequency changes, voltage sag / swell, voltage imbalances in the system and
power factor. Because of the power quality problems, several transmission and
distribution losses can occur due to both the consumers and the generators.
Also, the integration of PV power plants to the main grid will cause several
power quality problems, and a reliable operation of the grid with PV power
plants is a significant issue for distributed generation. Thus, the first step
in preparing a reliable algorithm for detecting power quality events occurring
in the current grid is to model a power system in which power quality
impairments can be analyzed. In this work, the power quality disturbances that
occur in the low-voltage grid that is fed through both the main grid and the
grid-connected PV system are modeled and investigated. Developed electric power
distribution model includes simulation of voltage sags caused by three phase
fault, transformer energization and asynchronous motor switching, voltage
swells caused by three phase fault, transients due to large capacitor bank
switching, harmonics and notches caused by the load connected via the power
converter. Examination of the power quality disturbances with simulation
clearly revealed the resulting waveforms, the response of the electrical power
system to the fault conditions. Another advantage of the realized study is that
the developed model can be used to measure the performance of the PV connected
distributed generation system in fault detection and classification studies.
Primary Language | English |
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Subjects | Electrical Engineering |
Journal Section | Research Articles |
Authors | |
Publication Date | February 1, 2019 |
Submission Date | March 27, 2018 |
Acceptance Date | July 20, 2018 |
Published in Issue | Year 2019 Volume: 23 Issue: 1 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.