Microgrid working conditions identification based on cluster analysis – a case study from Lambda Microgrid
Artikel i vetenskaplig tidskrift, 2022

This article presents the application of cluster analysis (CA) to data proceeding from a testbed microgrid located at Sapienza University of Rome. The microgrid consists of photovoltaic (PV), battery storage system (BESS), emergency generator set, and different types of load with a real-time energy management system based on supervisory control and data acquisition. The investigation is based on the area-related approach - the CA algorithm considers the input database consisting of data from all measurement points simultaneously. Under the investigation, different distance measures (Euclidean, Chebyshev, or Manhattan), as well as an approach to the optimal number of cluster selections. Based on the investigation, the four different clusters that represent working conditions were obtained using methods to define an optimal number of clusters. Cluster 1 represented time with high PV production; cluster 2 represented time with relatively low PV production and when BESS was charged; cluster 3 represents time with relatively high PV production and when BESS was charged; cluster 4 represents time without PV production. Additionally, after the clustering process, a deep analysis was performed in relation to the working condition of the microgrid.

Chebyshev approximation

different measurement distances

Generators

cluster analysis

Microgrids

Production

Employee welfare

Extraterrestrial measurements

optimal number of clusters

microgrid

area-related approach

Costs

Författare

Michal Jasinski

Politechnika Wrocławska

Luigi Martirano

Sapienza, Università di Roma

Arsalan Najafi

Politechnika Wrocławska

Omid Homaee

Politechnika Wrocławska

Zbigniew Leonowicz

Politechnika Wrocławska

Mostafa Kermani

Chalmers, Elektroteknik, Elkraftteknik

IEEE Access

2169-3536 (ISSN) 21693536 (eISSN)

Vol. 10 70971-70979

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Övrig annan teknik

Datorsystem

DOI

10.1109/ACCESS.2022.3186092

Mer information

Senast uppdaterat

2024-03-07