Background:
Due to the high level of photovoltaic power plants (PVPPs) penetration into
power grids, disconnections of these plants during faults are no longer possible as it may cause problems
concerning stability, quality, and operation of the power system. Therefore, new grid codes
have been established with low voltage ride-through (LVRT) capability standard requirements for
grid-connected PVPPs that should be met. Therefore, for an efficient LVRT control, the fast and
precise sag detection strategy is essential for the system to switch from normal operation to LVRT
mode of operation.
Methods:
For this purpose, this paper presents a two automatic fault detection methods which are
RMS-based (d-q) components of grid voltage and positive sequence voltage. These methods were
utilized to determine the beginning and end of a voltage sag and to determine the sag depth to regulate
the required reactive current that should be injected according to the LVRT standard requirements.
The operating method depends on calculating present grid voltage under faults to the nominal
voltage that identifies the sags’ depth and therefore inject the required amount of reactive power accordingly.
Also, a comparison between the two proposed methods regarding response speed and accuracy
was made. The effectiveness of these detection strategies is that it can be integrated into the
voltage source inverter (VSI) without utilizing additional external hardware or software programming.
Results:
The simulation results demonstrated a good precision and how straightforward the proposed
methods’ usage is, proving that the RMS method is faster and more accurate than positive sequence
method.
Conclusion:
In conclusion, it was found that RMS detection algorithm is preferred for a more accurate
and efficient LVRT control.
Modeling and Design of the Vector Control for a Three-Phase Single-Stage Grid-Connected PV System with LVRT Capability according to the Spanish Grid Code