"Stochastic evaluation of the impact of distributed generation in distribution networks"
Dr. Tomás Yebra Vega (Post-Doctoral Fellow)
Supervisor: Dr. Aniruddha Gole and Vicente Fuster Roig
Aim of Project
The introduction of distributed generation modifies the steady-stay and the dynamic responses of the network when transient phenomena appear. The objectives of the project are to study several aspects of this new scenario for the distribution network such as power loses in the network, voltage profile in feeders, and power quality in user's loads.
Description of Project
The evaluation of the power quality in the distribution system is made by the combination of a detailed model of the network and the simulation using the Monte Carlo method.
An electromagnetic model of the system has been chosen because it allows for study of not only the influence in the steady-state but also the dynamic response of the system when there is a fault in some of the feeders. It has also been necessary to implement most of the devices in as much detail as possible because electric systems such as the protection/controls of the distribution generation modify the characteristics of voltage sags significantly.
Given that electric faults in feeders are stochastic phenomena and the model of the distribution network and its systems involves a large number of stochastic variables, the Monte Carlo method is a good tool to accomplish the goals of the research. The model of the network is simulated many times until the convergence of the probability density function of known variables is achieved.
The results are obtained by the comparison of two scenarios: one without the presence of distributed generation and the other with it. One of the most important pieces of information obtained is the numerical evaluation of the power quality in the user's loads. The study shows the influence of the distribution generation in the number of voltage sags and interruptions which cause outages in sensitive loads. The evaluation also shows that this influence is difficult - or even impossible - to measure in the physical system.
Accepted/Published Papers
None available at this time.