Probabilistic Methodology for Calculating PV Hosting Capacity in LV Networks Using Actual Building Roof Data

Miha Grabner, Andrej Souvent, Nermin Suljanović, Andrej Košir and Boštjan Blažič
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Miha Grabner: Faculty of Electrical Engineering, University of Ljubljana, Tržaška c. 25, 1000 Ljubljana, Slovenia
Andrej Souvent: Electric Power Research Institute Milan Vidmar, Hajdrihova 2, 1000 Ljubljana, Slovenia
Nermin Suljanović: Electric Power Research Institute Milan Vidmar, Hajdrihova 2, 1000 Ljubljana, Slovenia
Andrej Košir: Faculty of Electrical Engineering, University of Ljubljana, Tržaška c. 25, 1000 Ljubljana, Slovenia
Boštjan Blažič: Faculty of Electrical Engineering, University of Ljubljana, Tržaška c. 25, 1000 Ljubljana, Slovenia

Energies, 2019, vol. 12, issue 21, 1-15

Abstract: There has been an increasing trend of integrating photovoltaic power plants (PVs). One of the important challenges for distribution system operators is to evaluate the total installed power of a PV that a particular network can host (or PV hosting capacity) while keeping voltage and element constraints within required limits. The major drawback of the existing methods for calculating PV hosting capacity is that they use the same installed power of the PV systems for all simulated PVs, as these methods do not use external data sources about building roofs. As a consequence, this has a significant impact on the final accuracy of the results. This paper presents a probabilistic methodology for calculating the PV hosting capacity in low voltage (LV) networks. The main contribution of this paper is the improved modeling of PV generation using actual building roof data when calculating the PV hosting capacity, as every building is treated according to its actual solar potential. Monte Carlo simulations with incorporated stochastic consumption and PV generation models are utilized for load flow calculations of the actual LV network. The simulation results presented in this paper prove that the proposed methodology increases the accuracy of the final PV hosting capacity calculations.

Keywords: LV networks; hosting capacity; Monte Carlo; PV (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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