Authors:
Vasiliki Klonari
;
Jean-François Toubeau
;
Jacques Lobry
and
Francois Vallee
Affiliation:
University of Mons, Belgium
Keyword(s):
Smart Cities Power Distribution, Low Voltage, Hosting Capacity, Smart Meters, Photovoltaic, Probabilistic Analysis.
Related
Ontology
Subjects/Areas/Topics:
Energy and Economy
;
Energy Monitoring
;
Energy Profiling and Measurement
;
Energy-Aware Systems and Technologies
;
Frameworks and Models for Smart City Initiatives
;
Greener Systems Planning and Design
;
Planning and Design Challenges for Smart Cities
;
Renewable Energy Resources
;
Smart Cities
Abstract:
Maximizing the share of renewable resources in the electric energy supply is a major challenge in the design
of smart cities. Concerning the smart city power distribution, the main focus is on the Low Voltage (LV) level
in which distributed Photovoltaic (PV) units are the mostly met renewable energy systems. This paper
demonstrates the usefulness of smart metering (SM) data in determining the maximum photovoltaic (PV)
hosting capacity of an LV distribution feeder. Basically, the paper introduces a probabilistic tool that estimates
PV hosting capacity by using user-specific energy flow data, recorded by SM devices. The probabilistic
evaluation and the use of historical SM data yield a reliable estimation that considers the volatile character of
distributed generation and loads as well as technical constraints of the network (voltage magnitude, phase
unbalance, congestion risk, line losses). As a case study, an existing LV feeder in Belgium is analysed. The
feeder is located in an area
with high PV penetration and large deployment of SM devices. The estimated PV
hosting capacity is proved to be much higher than the one obtained with a deterministic worst case approach,
considering voltage margin (magnitude and unbalance).
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