A hosting capacity based approach toward distribution system planning for high PV penetration

• A hosting capacity calculation method suitable for MV and LV distribution system planning. • Realistic assessment of the hosting capacity using time-series with real data. • Novel handling of uncertainties by using the probability of a limit violation as the performance index. • Showing the importance of correctly modelling the background voltage. • The MV network significantly impacts the hosting capacity for the LV network. This paper presents an approach to estimate the hosting capacity for distribution networks considering the impact of PV penetration at different voltage levels. The estimation and the method were selected such that the results were most suitable for distribution system planning. A time-series based method was used as it covers significant aspects needed for prioritising network reinforcement. The MV background voltage was modelled varying in time, assuming the same penetration level in the other LV networks supplied by the same MV system. The hosting capacity is defined as the maximum acceptable PV size per customer for a given PV penetration. Based on the different possible combinations of PV location, the probability of overvoltage and overloading is used as a performance index. The planning risk is used as a limit for the performance criterion. The method can be automated for a large number of networks due to using an IEC 61970-based input format. It also enables linking DSO network models to customer smart metre databases. The severity and risks of limit violations are analysed with different metrics from the time-series simulations. The change in background voltage with increasing penetration is shown to impact the results significantly. When considering it, the estimated hosting capacity was reduced by 32 %, on average.

Authors

Institutions

Publication Details

Journal
Electric Power Systems Research
Published
2024-10-05
DOI
https://doi.org/10.1016/j.epsr.2024.111138
Citations
12
Primary Topic
Optimal Power Flow Distribution
Type
article
Field-Weighted Citation Impact
2.50
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A hosting capacity based approach toward distribution system planning for high PV penetration

Taís Tavares de Oliveira, Math Bollen, Nicholas Etherden
12 citations
Electric Power Systems Research
Optimal Power Flow Distribution
2.50
article

A hosting capacity based approach toward distribution system planning for high PV penetration

Taís Tavares de Oliveira, Math Bollen, Nicholas Etherden
article en
12 citations

Abstract

• A hosting capacity calculation method suitable for MV and LV distribution system planning. • Realistic assessment of the hosting capacity using time-series with real data. • Novel handling of uncertainties by using the probability of a limit violation as the performance index. • Showing the importance of correctly modelling the background voltage. • The MV network significantly impacts the hosting capacity for the LV network. This paper presents an approach to estimate the hosting capacity for distribution networks considering the impact of PV penetration at different voltage levels. The estimation and the method were selected such that the results were most suitable for distribution system planning. A time-series based method was used as it covers significant aspects needed for prioritising network reinforcement. The MV background voltage was modelled varying in time, assuming the same penetration level in the other LV networks supplied by the same MV system. The hosting capacity is defined as the maximum acceptable PV size per customer for a given PV penetration. Based on the different possible combinations of PV location, the probability of overvoltage and overloading is used as a performance index. The planning risk is used as a limit for the performance criterion. The method can be automated for a large number of networks due to using an IEC 61970-based input format. It also enables linking DSO network models to customer smart metre databases. The severity and risks of limit violations are analysed with different metrics from the time-series simulations. The change in background voltage with increasing penetration is shown to impact the results significantly. When considering it, the estimated hosting capacity was reduced by 32 %, on average.

Electric Power Systems ResearchVol. 238
Luleå University of Technology (SE)
Openalex Percentile: Top 10%
Optimal Power Flow Distribution
2.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.