Hosting Capacity Estimate Based on Photovoltaic Distributed Generation Deployment: A Case Study in a Campus of the University of São Paulo
Distributed generation, which is mainly deployed with PV systems that benefit economically prosumers, has soared in use in Brazil. Despite this, PV capacity in excess may cause technical issues which concern planning engineers who have adopted rules of thumb to screen interconnection requests withou...
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Format: | Article |
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MDPI AG
2023-05-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/16/9/3934 |
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author | Igor Cordeiro Welson Bassi Ildo Luís Sauer |
author_facet | Igor Cordeiro Welson Bassi Ildo Luís Sauer |
author_sort | Igor Cordeiro |
collection | DOAJ |
description | Distributed generation, which is mainly deployed with PV systems that benefit economically prosumers, has soared in use in Brazil. Despite this, PV capacity in excess may cause technical issues which concern planning engineers who have adopted rules of thumb to screen interconnection requests without any detailed study. Recently, the hosting capacity concept has been employed to assess how much PV capacity a distribution grid can host without deteriorating grid parameters, reliability, or power quality. A steady-state and worst-case-based scenario was used to run deterministic power flow simulations to estimate the hosting capacity of a specific radial circuit at a campus of the University of São Paulo, referred to as “USP-105”. Although the result may be not completely accurate, it was found that USP-105 can accommodate 103% of its peak load or 4970.6 kW of PV power, which reduced the circuit’s annual peak load by 9%. Another finding was that hosting capacity increased when PV-DG deployment was dispersed along the circuit rather than concentrated on a single location (e.g., closest, or furthest to the substation). Utilities may therefore benefit from a simple and quick assessment to obtain an overview of how specific circuits behave on PV deployment and indicate which locations are technically more beneficial. |
first_indexed | 2024-03-11T04:19:46Z |
format | Article |
id | doaj.art-fde0b95254ad4d0b916f9f65c0c1c6f7 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-11T04:19:46Z |
publishDate | 2023-05-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-fde0b95254ad4d0b916f9f65c0c1c6f72023-11-17T22:53:45ZengMDPI AGEnergies1996-10732023-05-01169393410.3390/en16093934Hosting Capacity Estimate Based on Photovoltaic Distributed Generation Deployment: A Case Study in a Campus of the University of São PauloIgor Cordeiro0Welson Bassi1Ildo Luís Sauer2Institute of Energy and Environment (IEE), University of São Paulo (USP), São Paulo 05508-010, BrazilInstitute of Energy and Environment (IEE), University of São Paulo (USP), São Paulo 05508-010, BrazilInstitute of Energy and Environment (IEE), University of São Paulo (USP), São Paulo 05508-010, BrazilDistributed generation, which is mainly deployed with PV systems that benefit economically prosumers, has soared in use in Brazil. Despite this, PV capacity in excess may cause technical issues which concern planning engineers who have adopted rules of thumb to screen interconnection requests without any detailed study. Recently, the hosting capacity concept has been employed to assess how much PV capacity a distribution grid can host without deteriorating grid parameters, reliability, or power quality. A steady-state and worst-case-based scenario was used to run deterministic power flow simulations to estimate the hosting capacity of a specific radial circuit at a campus of the University of São Paulo, referred to as “USP-105”. Although the result may be not completely accurate, it was found that USP-105 can accommodate 103% of its peak load or 4970.6 kW of PV power, which reduced the circuit’s annual peak load by 9%. Another finding was that hosting capacity increased when PV-DG deployment was dispersed along the circuit rather than concentrated on a single location (e.g., closest, or furthest to the substation). Utilities may therefore benefit from a simple and quick assessment to obtain an overview of how specific circuits behave on PV deployment and indicate which locations are technically more beneficial.https://www.mdpi.com/1996-1073/16/9/3934photovoltaicdistributed generationhosting capacitypower flowutility |
spellingShingle | Igor Cordeiro Welson Bassi Ildo Luís Sauer Hosting Capacity Estimate Based on Photovoltaic Distributed Generation Deployment: A Case Study in a Campus of the University of São Paulo Energies photovoltaic distributed generation hosting capacity power flow utility |
title | Hosting Capacity Estimate Based on Photovoltaic Distributed Generation Deployment: A Case Study in a Campus of the University of São Paulo |
title_full | Hosting Capacity Estimate Based on Photovoltaic Distributed Generation Deployment: A Case Study in a Campus of the University of São Paulo |
title_fullStr | Hosting Capacity Estimate Based on Photovoltaic Distributed Generation Deployment: A Case Study in a Campus of the University of São Paulo |
title_full_unstemmed | Hosting Capacity Estimate Based on Photovoltaic Distributed Generation Deployment: A Case Study in a Campus of the University of São Paulo |
title_short | Hosting Capacity Estimate Based on Photovoltaic Distributed Generation Deployment: A Case Study in a Campus of the University of São Paulo |
title_sort | hosting capacity estimate based on photovoltaic distributed generation deployment a case study in a campus of the university of sao paulo |
topic | photovoltaic distributed generation hosting capacity power flow utility |
url | https://www.mdpi.com/1996-1073/16/9/3934 |
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