Assessment of the wind power generation uncertainty on the steady-state operation of electric power systems

Abstract

Nowadays, the large-scale integration of wind energy conversion systems in transmission networks is one of the most effective and practical options for generating electricity from renewable sources. However, the increase in wind energy penetration causes the operation of electrical power systems to become more dependent and vulnerable to variations in wind speed. Within this context, it is necessary to perform probabilistic power flow (PPF) studies to maintain system integrity in the face of stochastic wind power generation. This paper describes and implements a power flow method that considers the uncertainties that arise from wind generation behavior. This PPF approach, based on a point estimation technique, is validated against thousands of Monte Carlo simulations.