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Photovoltaic Integration in Smart City Power Distribution - A Probabilistic Photovoltaic Hosting Capacity Assessment based on Smart Metering Data

Topics: Case Studies, Business Models and Innovative Applications for Smart(er) Cities; Energy Monitoring; Energy Profiling and Measurement; Frameworks and Models for Smart City Initiatives; Greener Systems Planning and Design; Planning and Design Challenges for Smart Cities; Renewable Energy Resources

Authors: Vasiliki Klonari ; Jean-François Toubeau ; Jacques Lobry and Francois Vallee

Affiliation: University of Mons, Belgium

ISBN: 978-989-758-184-7

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). (More)

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Paper citation in several formats:
Klonari V., Toubeau J., Lobry J. and Vallee F. (2016). Photovoltaic Integration in Smart City Power Distribution - A Probabilistic Photovoltaic Hosting Capacity Assessment based on Smart Metering Data.In Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-184-7, pages 166-178. DOI: 10.5220/0005792001660178

@conference{smartgreens16,
author={Vasiliki Klonari and Jean-François Toubeau and Jacques Lobry and Francois Vallee},
title={Photovoltaic Integration in Smart City Power Distribution - A Probabilistic Photovoltaic Hosting Capacity Assessment based on Smart Metering Data},
booktitle={Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2016},
pages={166-178},
doi={10.5220/0005792001660178},
isbn={978-989-758-184-7},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Photovoltaic Integration in Smart City Power Distribution - A Probabilistic Photovoltaic Hosting Capacity Assessment based on Smart Metering Data
SN - 978-989-758-184-7
AU - Klonari V.
AU - Toubeau J.
AU - Lobry J.
AU - Vallee F.
PY - 2016
SP - 166
EP - 178
DO - 10.5220/0005792001660178

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