Probabilities of Rare Random Events in the Electric Power Industry

Куликов, Александр Леонидович; Papkov, Boris V.; Kulikov, Aleksandr; Осокин, Владимир Леонидович

doi:10.24160/0013-5380-2019-2-4-9

Cited by 4 publications

(3 citation statements)

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“…The operation of the internet relies on a vast range of hardware, all of which must cooperate with one another [1]. Everything that we use comes into this category, whether it is the cell phones that we carry or the USB cords that we use to charge them [2]. Numerous studies [3] have shown that portable storage devices such as USB sticks and pen drives are a rising source of cyber hazards.…”

Section: Introductionmentioning

confidence: 99%

Optimised Ensemble Classification Model for Detecting Cyber Attacks

Venkatesan¹,

Das²,

Babu³

2023

IJSMIEN

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The repercussions of cyberattacks may be far-reaching, despite the minimal costs involved, the ease with which they can be executed, and the difficulty in pinpointing their origin. Current network architecture is one of the main obstacles that makes pinpointing the perpetrators of cyberattacks difficult. The absence of enforcement tools under international law makes it impossible to prosecute those guilty for cyberattacks, even when they may be identified. This complicates the process of punishing individuals who launch cyberattacks. Attribution is not a reliable deterrent since it is difficult to prosecute criminal charges in conjunction with cyberattacks. Due to the accessibility of the internet, it is feasible that examining data from social media can help us better understand what motivates hackers. We construct a model to identify the origin of the DDoS assault as part of our inquiry. The number of devices and their individual rights to access a network’s features are both determined by an ensemble classification model. To ensure that the model can detect the attack, a simulation is run.

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Section: Introductionmentioning

confidence: 99%

Optimised Ensemble Classification Model for Detecting Cyber Attacks

Venkatesan¹,

Das²,

Babu³

2023

IJSMIEN

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“…Therefore, at present, when developing conceptual models and projects for the development of EPS, much attention is paid to the problem of ensuring cyber-physical stability, i.e. stability of the Smart Grid and its objects to physical and information disturbances [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Application of the state estimation procedure to improve the cyber-physical stability of the smart grid

Kolosok,

Korkina,

Demidov

2023

E3S Web Conf.

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Current Smart Grids and their facilities acquire stable features of cyber-physical systems, the components of which are physical (technological) and information - communication subsystems. In a cyber-physical system, a failure in one subsystem can cause a failure in an other one, and combined emergency states can occur as a result, so there is a problem of ensuring the Smart Grid resilience to physical and information disturbances - the problem of cyber-physical stability (resilience). The report considers the issues of applying the State Estimation procedure to analyze and increase the resilience of Smart Grid and its facilities. It is shown that the State Estimation procedure serves as an effective mean of identifying deliberate impacts or cyber-attacks on the information-communication subsystem and eliminating their consequences on technological subsystem operation. Ways to improve the efficiency of the State Estimation procedure for solving this task are considered.

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“…С другой -резкий рост потребления энергоресурсов ведет к массовому несанкционированному отбору электроэнергии, растет и количество неучтенных (несанкционированных) потребителей. Так, по энергосистеме допустимый уровень потерь составляет 9-10%, по распределительным сетям удовлетворительный уровень потерь -4-4,5% и максимально допустимый -10% [4].…”

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Accounting and Monitoring System of Electricity Expenditures Based on Geospatient Data Consumers Location

Lapina,

Malykhina,

Krupchatnikov

2024

jour

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The purpose of the research is considers the development and implementation of a system of accounting and monitoring of electricity costs with visualization of geospatial location data by consumers, which provides technical accounting and analysis of the structure of electricity consumption, estimation of electricity consumption for the tasks of planning production volumes and purchasing electricity from producing companies based on consumer expenditure statistics, prevention of losses associated with unauthorized electricity extraction.Methods. When creating a project and software implementation of a system for monitoring and controlling energy consumption, methods of system analysis, methods of designing software for information systems, a unified object-oriented modeling language Unified Modeling Language (UML), DBMS SQLServer, development environment Microsoft Visual Studio Code (VS Code.) were used.Results. During the project, software for a monitoring and control system for electricity consumption with visualization of geospatial data on the location of consumers was developed and implemented.Тhe project was implemented, tested and introduced into the activities of JSC АtomЕnergoSbyt when planning and accounting for electricity supplies to consumers.Тhe testing results showed that the software system fully satisfies the functional requirements, is ready for use and was demonstrated at the exhibition center.Conclusion. А system for recording energy consumption data with visualization of the territorial location of consumers has been developed in order to control consumption and payments. Тhe developed system will solve the problem of delay in receiving readings from metering devices in the data collection system. Visualization of energy resource con- sumption data by objects and their territorial location with linked personal accounts, meters and consumption volumes will allow you to quickly control the volume of supplies and energy consumers. availability of payment, which will reduce unproductive losses and unauthorized connections.For the company JSC Аtomenergosbyt, operational visualization of consumer data makes it possible to analyze the coverage of consumers by territorial basis and plan new connections.

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Probabilities of Rare Random Events in the Electric Power Industry

Cited by 4 publications

References 0 publications

Optimised Ensemble Classification Model for Detecting Cyber Attacks

Optimised Ensemble Classification Model for Detecting Cyber Attacks

Application of the state estimation procedure to improve the cyber-physical stability of the smart grid

Accounting and Monitoring System of Electricity Expenditures Based on Geospatient Data Consumers Location

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