Data Analysis and Data Generation Techniques for Comparative Examination of Distribution Network Topologies

Kazsoki, Attila Sandor; Hartmann, B.

doi:10.15866/iree.v14i1.16108

Cited by 2 publications

(8 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One of the biggest questions of data mining is which methods can be used on large data sets and how these tools are used. After reviewing studies in which electricity network topologies are grouped, it can be stated that for classification, k-means (and k-medoids) clustering and hierarchical clustering are the most frequently used techniques [2][3][4]. In this study, hierarchical agglomerative clustering is used for the formulation of medium voltage representative networks.…”

Section: Data Analysis Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

Methodology for the formulation of medium voltage representative networks in three DSO areas

Kazsoki¹,

Hartmann²

2024

RE&PQJ

View full text Add to dashboard Cite

In the 2020s, in line with international trends, a rapidly increasing photovoltaic penetration is expected in Hungary. These decentralized electricity sources are typically connected to the low and medium voltage distribution network, affecting their operation. The spread of different output power connection demands the development of the network infrastructure. The development directions and opportunities can be examined with software simulation, so the formulation of reference networks is required. In order to get valid reference networks, clustering of real feeders can be a solution. When the clusters and the values of the variables that describe the clusters are defined, the networks can be implemented in simulation software. In this paper, the clustering process of Hungarian distribution networks, the determination of the optimal cluster number, and the reference networks are all presented, on which the effects of the growing photovoltaic penetration in the Hungarian medium voltage distribution network system can be simulated.

show abstract

Section: Data Analysis Techniquesmentioning

confidence: 99%

“…To perform simulation, the software implementation of networks is recommended. [2][3][4]. Since there is a significant number of various topology medium voltage networks in Hungary, their software implementation and a large range of simulations is a powerful time and resource absorbing exercise.…”

Section: Introductionmentioning

confidence: 99%

Methodology for the formulation of medium voltage representative networks in three DSO areas

Kazsoki¹,

Hartmann²

2024

RE&PQJ

View full text Add to dashboard Cite

show abstract

“…[2].By reviewing a number of studies (Table 2) in which some kin fog these techniques (typically clustering methods) were used for grouping low or medium voltage electricity network, it can be said that classification, Kmeans (and K-medoids) clustering and hierarchical clustering are the most frequently used methods. [3] The description of the mentioned methods are not presented in this paper, the clustering processes, the advantages and disadvantages of them can be found in another review paper of the authors [3].…”

Section: Data Analysis Techniquesmentioning

confidence: 99%

“…The main concept is that a selected item is more tied to a closer data point that to a farther one." [3] [15] At the beginning of this process, all the data points (n) are considered as a single cluster. At each step of the algorithm, all data points are moved to a larger cluster.…”

Section: Hierarchical Agglomerative Clusteringmentioning

confidence: 99%

See 1 more Smart Citation

Hierarchical Agglomerative Clustering of Selected Hungarian Medium Voltage Distribution Networks

Kazsoki¹,

Hartmann²

2020

ACTA POLYTECH HUNG

View full text Add to dashboard Cite

Nowadays the increase of photovoltaic penetration and simultaneously, the decentralization of electricity system, poses a number of challenges for distribution system developers and operators. The spread of high output power photovoltaic power plant connections demands the development of a network infrastructure. The analysis of development directions can be done with software simulation, for which network models are needed, which can characterize real networks well. To create such reference networks, knowing existing topologies, hierarchical agglomerative clustering can be a solution. When the parameters of the clusters are specified well, their software implementation can be done. In this study, a possible clustering process of selected Hungarian medium voltage overhead networks (including the determination of the optimal cluster number too), and the formulated network clusters are presented. The clustering of twenty selected 22 kV medium voltage networks was done using hierarchical agglomerative clustering. Then the optimal cluster number was determined. Based on Davis-Bouldin and Silhouette criterions, this cluster number was four. Two of the four generated clusters are single clusters, containing only one feeder. The size and looping of the characterized sample networks are well observable. In this paper a method has been created to generate medium voltage distribution network models, which can be used to simulate the effects of the growing photovoltaic penetration in the Hungarian distribution network.

show abstract

Data Analysis and Data Generation Techniques for Comparative Examination of Distribution Network Topologies

Cited by 2 publications

References 0 publications

Methodology for the formulation of medium voltage representative networks in three DSO areas

Methodology for the formulation of medium voltage representative networks in three DSO areas

Hierarchical Agglomerative Clustering of Selected Hungarian Medium Voltage Distribution Networks

Contact Info

Product

Resources

About