Optimization Configuration Method for Voltage Sag Monitors Considering Photovoltaic Integration

The integration of photovoltaic (PV) power sources has brought new problems to voltage sag in new power systems. Optimizing the configuration of voltage sag monitoring devices is an effective means to reduce monitoring costs. This article uses high-order Markov chains and Gaussian mixture models to probabilistic model PV power sources, improving the accuracy of PV probabilistic modeling. The calculation method for correcting residual voltage amplitude considering the low voltage ride through (LVRT) characteristics of PV is proposed. The optimization configuration method is based on the constraint that all system faults can be recorded by the monitoring device, and the optimization objective is to minimize the configuration cost of the monitoring devices. The obtained configuration scheme not only meets the economic requirements but also ensures that all voltage sags caused by faults in the system can trigger at least one monitoring device to record in power systems with PV access. The effectiveness of the proposed method was verified through simulation analysis using an IEEE30 node testing system.