Photovoltaic Generation Impact Analysis in Low Voltage Distribution Grids

Gregorio Fernández, Noemi Galan, Daniel Marquina, Diego Martínez, Alberto Sanchez, Pablo López, Hans Bludszuweit and Jorge Rueda
Additional contact information
Gregorio Fernández: Fundacion CIRCE, Parque Empresarial Dinamiza, Avenida Ranillas 3-D, 1st Floor, 50018 Zaragoza, Spain
Noemi Galan: Fundacion CIRCE, Parque Empresarial Dinamiza, Avenida Ranillas 3-D, 1st Floor, 50018 Zaragoza, Spain
Daniel Marquina: Fundacion CIRCE, Parque Empresarial Dinamiza, Avenida Ranillas 3-D, 1st Floor, 50018 Zaragoza, Spain
Diego Martínez: Fundacion CIRCE, Parque Empresarial Dinamiza, Avenida Ranillas 3-D, 1st Floor, 50018 Zaragoza, Spain
Alberto Sanchez: Grupo Cuerva, C/Santa Lucia, 1 K. Churriana de la Vega, 18194 Granada, Spain
Pablo López: Grupo Cuerva, C/Santa Lucia, 1 K. Churriana de la Vega, 18194 Granada, Spain
Hans Bludszuweit: Fundacion CIRCE, Parque Empresarial Dinamiza, Avenida Ranillas 3-D, 1st Floor, 50018 Zaragoza, Spain
Jorge Rueda: Grupo Cuerva, C/Santa Lucia, 1 K. Churriana de la Vega, 18194 Granada, Spain

Energies, 2020, vol. 13, issue 17, 1-27

Abstract: Due to a greater social and environmental awareness of citizens, advantageous regulations and a favourable economic return on investment, the presence of photovoltaic (PV) installations in distribution grids is increasing. In the future, not only a significant increase in photovoltaic generation is expected, but also in other of the so-called distributed energy resources (DER), such as wind generation, storage, electric vehicle charging points or manageable demands. Despite the benefits posed by these technologies, an uncontrolled spread could create important challenges for the power system, such as increase of energy losses or voltages out-of-limits along the grid, for example. These issues are expected to be more pronounced in low voltage (LV) distribution networks. This article has two main objectives: proposing a method to calculate the LV distributed photovoltaic generation hosting capacity (HC) that minimizes system losses and evaluating different management techniques for solar PV inverters and their effect on the hosting capacity. The HC calculation is based on a mixture of deterministic methods using time series data and statistical ones: using real smart meters data from customers and generating different combinations of solar PV facilities placements and power to evaluate its effect on the grid operation.

Keywords: photovoltaics; distributed energy resources (DERs); grid impact; power quality; low-voltage distribution network; inverter regulation (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/17/4347/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/17/4347/ (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:jeners:v:13:y:2020:i:17:p:4347-:d:402712

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().