A Robust Data-Driven Approach for Fault Detection in Photovoltaic Arrays

n this paper, a robust data-driven method for fault detectionin photovoltaic (PV) arrays is proposed. Our method is based onthe random vector functional-link networks (RVFLN) which has theadvantage of randomly assigning hidden layer parameters with no tuning. To eliminate the effect of measurement noise and overfitting in thetraining process...

A Framework for Incorporation of Infeed Uncertainty in Power System Risk-Based Security Assessment

In this paper, a risk-based security assessment methodology is presented, which allows the assessment of operational security of a power system’s future state under uncertainty deriving from varying topology scenarios (contingencies) and forecast errors (loads and renewable infeeds). The methodology models input uncertaintywith a copula function...