An Example of Utilizing Stochastic Approach for Investigating Network Constraints (Congestions) on Horizontally Operated Power Systems with Distributed Generation
Abstract: This paper shows an
example of a stochastic approach to study the impact of distributed generation
(DG) on the network constraints (congestions) in power systems. We assume the
DG units to be customer-owned, so that they can be connected to or disconnected
from the power system by their owners at random. Therefore, the DG units
generate power in a stochastic way. The load in the system shows a random
behavior too, and the probability distribution of the aggregated generated
power and load demand of the distribution system are calculated using Monte
Carlo Simulation (MCS).The network constraints (congestions) are evaluated
based on the probability distributions of the power flows that result from the
simulations. The method that is applied in this paper, shows that looking at
the network constraints with a stochastic approach gives a more complete
picture of the network than applying a deterministic method, especially when
non-dispatchable DG units play a dominant role.
Keywords: power system, distributed
generation, power flows, network congestions, stochastic approach, Monte Carlo simulation
Author: M. Reza, G.
Papaefthymiou, P. H. Schavemaker
Journal Code: jptlisetrogg050003
