As renewable energy sources are integrated into power systems, managing their complexity becomes increasingly crucial. Clustering algorithms have emerged as indispensable tools for the analysis of modern power systems. In this paper, both a sensitivity-based method and an electrical coupling method have been utilized to analyze the impact of reactive power from distribution systems. The former relies on sensitivity analysis, whereas the latter depends solely on the network topology. The primary objective of this research is to identify distinct areas within the network where primary substations have a similar impact on the voltage within those areas. These techniques have been applied to a study case based on the Italian transmission network to show the efficacy of the algorithms.

Clustering Techniques to Evaluate the Impact of Reactive Power from Distribution Systems on the Transmission System: The Italian Case

Pomarico, Andrea;Berizzi, Alberto;
2024-01-01

Abstract

As renewable energy sources are integrated into power systems, managing their complexity becomes increasingly crucial. Clustering algorithms have emerged as indispensable tools for the analysis of modern power systems. In this paper, both a sensitivity-based method and an electrical coupling method have been utilized to analyze the impact of reactive power from distribution systems. The former relies on sensitivity analysis, whereas the latter depends solely on the network topology. The primary objective of this research is to identify distinct areas within the network where primary substations have a similar impact on the voltage within those areas. These techniques have been applied to a study case based on the Italian transmission network to show the efficacy of the algorithms.
2024
2024 116th AEIT International Annual Conference, AEIT 2024
Clustering
electrical coupling
power grids
sensitivity
volt-age security
File in questo prodotto:
File Dimensione Formato  
2024_AEIT Trento Clustering_beta_sensitivities.pdf

Accesso riservato

Dimensione 871.06 kB
Formato Adobe PDF
871.06 kB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1280441
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 3
social impact