Abstract:
Increased intermittent PV penetration at the low voltage level of the distribution system
necessitates closer attention because it can potentially aggravate the network’s technical
issues such as voltage violation, overloading of substation transformers, and line
overloading. In this thesis, the placement of PV at multiple locations in the distribution
system was modeled using a probabilistic technique. Rather than adopting the hit-andtrial
method,
this
strategy
has
the
advantage
of
providing
a
practical
planning
approach
for
assessing
the
implications
of
stochastic
PV
penetration
in
a
distribution
feeder.
The
research
was carried out on 301-buses 11kV/ 0.41 kV MV/LV network model
representing the Gulshan-e-Iqbal feeder of the Lahore Electric Supply Company grid.
The feeder’s information was mapped in SynerGEE software, and analysis of network
parameters was performed by applying random number theory using Pandapower in
Jupyter Notebook. The advantage of the proposed approach was observed by using
various combinations of PVs that can be connected to the feeder and the amount of
injected active power that every node can handle. To study the impact of probabilistic
penetration scenarios on performance parameters, including voltage profile and
percentage loading, four different case studies were implemented and compared to the
base case. The results verified the achievement of the strategy in identifying network
sites with maximum voltage deviations, line overloading, and transformer overloading.
Finally, the overall hosting capacity of the feeder in all four cases was also determined.
