Abstract:
The distribution grid has been the source of an
increased amount of electricity production in recent years.
Coupled with the adoption of open energy markets, this event
has significantly complicated the powerflows on the distribution
grid, urging network operators to invest in advanced control and
monitoring tools in order to optimize the efficiency and
reliability of the system. In this context, a method to estimate the
connection status of distributed generators and the system
topology is proposed in this paper, the goal being to obtain up to
date information on the power system network’s configuration.
This will enable grid operators to have visibility on the status of
the distribution grid and react proactively to problematic
situations that might arise. The proposed topology estimation
method relies on injected pilot signals through generators
feeding in power. Pilot voltage stimulations are injected from
distributed generators and the induced currents effects are
measured at several nodes in the system. The measured data is
evaluated through correlation, and a weighed least-square
algorithm, applied to the network’s dynamic model, estimates
those unknown parameters and provides an accurate snapshot of
the power network topology. The performance of the proposed
method is evaluated on a small scale distribution network.
Citation:
Neshvad, S., Margossian, H., & Sachau, J. Estimation of Power Grid Topology Parameters through Pilot Signals.
