Monitoring & Mitigation of Delayed Voltage Recovery using {\mu}PMU Measurements with Reduced Distribution System Model

TL;DR

This paper introduces a real-time method combining {}PMU measurements and a reduced distribution system model to monitor and mitigate fault-induced delayed voltage recovery, optimizing reactive power control for system stability.

Contribution

It presents a novel approach integrating {}PMU data with a reduced model for online FIDVR mitigation through linear optimization of DER reactive power.

Findings

Effective FIDVR mitigation demonstrated in simulations

Reduced computation time enables online application

Optimal reactive power control improves voltage recovery

Abstract

This paper proposes a new method to monitor and mitigate fault induced delayed voltage recovery (FIDVR) phenomenon in distribution systems using {\mu}PMU measurements in conjunction with a Reduced Distribution System Model (RDSM). The recovery time estimated from a dynamic analysis of the FIDVR is used to monitor its behavior and a linear optimization is formulated to control air conditioner loads and DER reactive power injection to mitigate the FIDVR severity. The RDSM is made up of several sub-models, each of which is analogous to the Composite Load Model (CLM) with selected parameters. The linear formulation in combination with the RDSM reduces the computation time, enabling online execution. Simulated {\mu}PMU measurements from the IEEE 37 node distribution system connected to the IEEE 9 bus system under various fault scenarios are used to evaluate the proposed methodology. The resulting mitigation schemes are validated using combined transmission-distribution system simulations, thereby demonstrating that {\mu}PMU measurements along with the RDSM enable FIDVR mitigation by optimal control of reactive power injection from DERs with minimal load disconnection