Comparison of Different References When Assessing PV HC in Distribution Networks
Samar Fatima,
Verner Püvi and
Matti Lehtonen
Additional contact information
Samar Fatima: Department of Electrical Engineering and Automation, Aalto University, Maarintie 8, 02150 Espoo, Finland
Verner Püvi: Department of Electrical Engineering and Automation, Aalto University, Maarintie 8, 02150 Espoo, Finland
Matti Lehtonen: Department of Electrical Engineering and Automation, Aalto University, Maarintie 8, 02150 Espoo, Finland
Clean Technol., 2021, vol. 3, issue 1, 1-15
Abstract:
The burgeoning photovoltaics’ (PVs) penetration in the low voltage distribution networks can cause operational bottlenecks if the PV integration exceeds the threshold known as hosting capacity (HC). There has been no common consensus on defining HC, and its numerical value varies depending on the reference used. Therefore, this article compared the HC values of three types of networks in rural, suburban, and urban regions for different HC reference definitions. The comparison was made under balanced and unbalanced PV deployment scenarios and also for two different network loading conditions. A Monte Carlo (MC) simulation approach was utilized to consider the intermittency of PV power and varying loading conditions. The stochastic analysis of the networks was implemented by carrying out a large number of simulation scenarios, which led towards the determination of the maximum amount of PV generation in each network case.
Keywords: distribution networks; Monte Carlo simulations; PV hosting capacity; photovoltaics (search for similar items in EconPapers)
JEL-codes: Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/2571-8797/3/1/8/pdf (application/pdf)
https://www.mdpi.com/2571-8797/3/1/8/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jcltec:v:3:y:2021:i:1:p:8-137:d:491204
Access Statistics for this article
Clean Technol. is currently edited by Ms. Shary Song
More articles in Clean Technol. from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().