Probabilistic Power Flow Containing Distributed Generation in Distribution System

Kai Chen

Dianli xitong zidonghua · 2005 · 62 citations · 0 references

Concepts

Abstract

In recent years, with the distributed generation (DG) technology widely applied, some system problems such as over-voltages and under-voltages are gradually remarkable, which are caused by DGs like wind energy system (WES) and photovoltaic system (PVS) because of their probabilistic output power relied on natural conditions. Based on these, the impacts of WES and PVS on the distribution system voltage quality are analyzed in this paper. The probabilistic models of WES and PVS are established. Applying these models into probabilistic power flow calculation of the IEEE 34 distribution system with DGs, the probabilistic density function of node voltage and the expected voltage exceeding hours in a whole year are obtained. Besides, comparison between wind/PV hybrid system and single WES is also made and the conclusion is that the former system can get better system voltage quality.