Information Technologies for Assessing the Impact of Climate Change and Natural Disasters in Socio-Economic Systems

Grebennik, Igor; Semenets, Valerii; Hubarenko, Yevhen

doi:10.1007/978-3-030-48939-7_3

Cited by 4 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…During the scientific conference titled Information Technology in Disaster Risk Reduction (ITDRR 2019) the application of EPS reengineering in case of natural and other disasters [9] was actively discussed, furthermore, the use of social-economic approach in order to design a new generation of EPS was examined [10].…”

Section: State-of the Art And Objectivesmentioning

confidence: 99%

Topological structure reengineering regional electric power systems

Nechyporenko

Hubarenko

2022

reks

Self Cite

View full text Add to dashboard Cite

This paper analyses the topology of a regional power system distribution grid. This research improves the efficiency of the electric power system's operation by using upgrading the redesign (reengineering) methods of topological structures within distribution grids. The research object is an electric power system that consists of generation, transmission and distribution parts and requires reengineering. The subject of research is the re-engineering of the topology of the power system distribution grid. To achieve the research purpose, modifications of k-means algorithm as well as the small step algorithm based on the statistical analysis, clustering and minimum spanning tree development methods of Prim and Kraskal are used. The modifications described in this paper allow for optimization of the network based on user needs, properties of the operating grid elements, and other additional constraints for flexibility and generality. Given the varying parameters, this method provides the means to redesign parts of the distribution grid, keeping its certain elements safe from displacement, but also the means to redesign the whole distribution grid, including changes to the number and location of transformer substations and transmission lines. Conclusions. To solve the problem of determining the territorially close groups of consumers in the paper, it was proposed to use the k-means clustering algorithm. This algorithm allows us to divide consumer sets into clusters, so that coordinates of their centres will be recommended as locations of transformer substations. The modernization of the k-means algorithm was proposed by developing procedures for adding and combining clusters using different strategies for determining starting centroids. Based on this, a method for reengineering the topological structures of regional electric power systems in terms of the possibility of their fundamental restructuring was developed. The results of this research may be useful to various enterprises, organizations or institutes dealing with the elaboration or design of electric power system development on the corporate, regional or local level.

show abstract

Section: State-of the Art And Objectivesmentioning

confidence: 99%

Topological structure reengineering regional electric power systems

Nechyporenko

Hubarenko

2022

reks

Self Cite

View full text Add to dashboard Cite

show abstract

“…Statistically the number of man-made disasters hardly differs from the number of natural disasters [3], however, natural disasters cause considerably greater damage to both economy and population. It is worth mentioning that there is a clear tendency of a decreasing occurrence of man-made disasters, the reasons behind this are improved safety protocols and regulations, introduction of new technologies and automation of security systems, etc.…”

Section: Creating a List Of Work On Reconstruction Of Infrastructure ...mentioning

confidence: 99%

Creating a List of Works on Reconstruction of Infrastructure Elements in Natural Disasters Based on Information Technologies

Grebennik

Semenets

Hubarenko

et al. 2021

IFIP Advances in Information and Communication Technology

Self Cite

View full text Add to dashboard Cite

The paper formulates the problem of forming a list of recovery measures to restore elements of the region's infrastructure from the consequences of natural disasters by automating the identification of problem areas and places that require repair. It is proposed to process information from unmanned aerial vehicles or high-resolution satellite images, using specially trained neural networks, to check the transport infrastructure and the integrity of power lines. Checking the integrity of the transport infrastructure is necessary to ensure that the repair crew can approach the place of rupture or breakdown. If there is no way to get to the repair site, the repair team should be reassigned to another location to keep downtime to a minimum. A neural network has been built and trained, which allows to determine the places of the rubble, fix their coordinates and plot on the map, as well as send the operator photographs of the areas that have raised doubts to correct the information. The neural network allows to determine the location of breaks in power lines and the integrity of the towers. A strategy for compiling a list of repairs is described, which takes into account the places of necessary repairs, access to them, repair time, travel time, time to eliminate congestion and the number of teams available. The results of computational experiments are analyzed.

show abstract