Probabilistic Load Flow in Renewable - Dominated Distribution Electric Networks

Abstract

Renewable energy sources (RES), especially wind and photovoltaic energy are the most used in distribution systems. In order to evaluate the impact of uncertainty of renewable energy sources and loads, an analysis of a distribution electric network using probabilistic load flow (PLF) is presented. The probabilistic approach considers that the loads demands and the injection of distributed generators are represented in terms of probability density functions (PDFs). Monte Carlo method is applied for generating artificial values of a probabilistic variable by using a random number generator and a distribution function. Based on the calculation results, various probabilistic characteristics for bus voltage profile, lines loading and active power losses, where RES are connected, are presented. By comparing the results PLF with deterministic load flow, a great accuracy is confirmed which allows for a better efficiency in investigating the state quantities of distribution electric network under study.