The Effect of the Uncertainty of Load and Renewable Generation on the Dynamic Voltage Stability Margin

TL;DR

This paper investigates how uncertainties in load demand and renewable energy sources affect the dynamic voltage stability margin in power systems, emphasizing the importance of stochastic modeling for future renewable integration.

Contribution

It introduces a stochastic differential-algebraic equation framework to analyze the impact of load and renewable uncertainties on voltage stability margins.

Findings

Uncertainty reduces the dynamic voltage stability margin.

Renewable variability significantly influences stability margins.

Stochastic modeling is crucial for future power system stability analysis.

Abstract

In this paper, the impact of stochastic load and renewable generation uncertainty on the dynamic voltage stability margin is studied. Stochastic trajectories describing the uncertainty of load, wind and solar generation have been incorporated in the power system model as a set of Stochastic Differential-Algebraic Equations (SDAEs). A systematic study of Monte Carlo dynamic simulations on the IEEE 39-Bus system has been conducted to compute the stochastic load margin with all dynamic components active. Numerical results show that the uncertainty of both demand and generation may lead to a decrease on the size of the dynamic voltage stability margin, yet the variability of renewable generators may play a more significant role. Given that the integration of renewable energy will continue growing, it is of paramount importance to apply stochastic and dynamic approaches in the voltage stability study.