Paper Info
Title
Microgrid Working Conditions Identification Based on Cluster Analysis-A Case Study From Lambda Microgrid
Abstract
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.
Year
DOI
Venue
2022
10.1109/ACCESS.2022.3186092
IEEE ACCESS
Keywords
DocType
Volume
Microgrids, Extraterrestrial measurements, Employee welfare, Generators, Chebyshev approximation, Production, Costs, Microgrid, area-related approach, cluster analysis, different measurement distances, optimal number of clusters
Journal
10
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Michal Jasinski100.34
Luigi Martirano23516.50
Arsalan Najafi300.34
Omid Homaee400.34
Zbigniew Leonowicz500.34
Mostafa Kermani600.34