Probabilistic methodology for calculating PV hosting capacity in LV networks using actual building roof data

Grabner, Miha (author), Souvent, Andrej (author), Suljanović, Nermin (author), Košir, Andrej (author), Blažič, Boštjan (author)

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.

• Language: English
• Keywords: LV networks, hosting capacity, Monte Carlo, PV
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FE - Faculty of Electrical Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2019
• Number of pages: 15 str.
• Numbering: Vol. 12, iss. 21, art. 4086
• PID: 20.500.12556/RUL-132770
• UDC: 621.3
• ISSN on article: 1996-1073
• DOI: 10.3390/en12214086
• COBISS.SI-ID: 40299525
• Publication date in RUL: 03.11.2021

Record is a part of a journal

• Title: Energies
• Shortened title: Energies
• Publisher: Molecular Diversity Preservation International
• ISSN: 1996-1073
• COBISS.SI-ID: 518046745

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
• Licensing start date: 01.11.2019

Secondary language

• Language: Slovenian
• Keywords: elektrotehnika, fotovoltaične elektrarne, nizkonapetostna omrežja, Monte Carlo