A Digital Relay Protection System in Electrical Distribution Networks

Bulychev, A. V.; Okhotkin, G. P.; Silanov, D. N.; Vasiliev, S. A.; Alekseev, V. V.

doi:10.3103/s1068371220080064

Cited by 3 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The relay protection devices of the GRU synchronous generators cannot prevent the electromagnetic impact torque [32,33]. This is because the electromagnetic impact torque reaches its maximum value after 5 ms from the time of unsynchronized reclosing operation.…”

Section: Mechanical Damage Of the Grumentioning

confidence: 99%

Specific Features of Operation of Distributed Generation Facilities Based on Gas Reciprocating Units in Internal Power Systems of Industrial Entities

et al. 2022

View full text Add to dashboard Cite

The creation of a decentralized low-carbon energy infrastructure is the main trend in the development of the electric power industry in many countries. Distributed generation facilities (DGs) based on gas reciprocating units (GRUs) are often built by industrial entities for the efficient utilization of secondary energy resources in order to minimize the environmental impact. Modern GRUs have some advantages, but they have design features that should be factored in when connecting them to the internal power systems of industrial entities. Incorrect consideration of possible operating conditions of GRU in their design can lead to their damage, excessive shutdowns, and disruptions in power supply to essential power consumers with significant damage and losses from undersupply of their products. Excessive shutdowns of GRUs are often caused by a non-selective choice of settings for relay protection devices or by load surges that exceed the allowable ones. With high availability factors, GRUs are disconnected five to eight times more often compared to large gas turbine and steam turbine power units. The large total power consumed by electric motors, as part of the load of an industrial entity, determines the nature and parameters of electromechanical transient processes during emergency disturbances. The presented analysis of issues facing real DG facilities relies on the acts of investigation into the causes of accidents. Calculations have shown that the action of the “Load Agreement Module” in the GRU excitation controller can provoke the occurrence of a voltage avalanche in the internal power system with a complete shutdown of the load. The paper presents recommendations on the choice of control algorithms and voltage settings for the GRU excitation controller. Technical solutions are given to prevent damage and excessive shutdowns of GRU in various operating conditions of the system, and to help ensure a reliable power supply to power consumers. The change in approaches to the design of DG facilities is substantiated in the light of their significant differences from other electric power facilities.

show abstract

Section: Mechanical Damage Of the Grumentioning

confidence: 99%

Specific Features of Operation of Distributed Generation Facilities Based on Gas Reciprocating Units in Internal Power Systems of Industrial Entities

et al. 2022

View full text Add to dashboard Cite

show abstract

Relay Protection Stability of Intelligent Substation

Qiu

2023

Lecture Notes in Mechanical Engineering

View full text Add to dashboard Cite

Machine Learning Methods as an Alternative to Factorization of Multidimensional Data

Slavutskii,

Slavutskaya

2024

Vestn. Čuv. univ.

View full text Add to dashboard Cite

Multidimensional random data and information flows often have different or limited numerical dimensions. When analyzing the intra-system relationships of such data, correlation and factor analysis are ineffective. The purpose of the study is to evaluate the possibilities of the combined use of the “decision tree” method and the artificial neural networks for the analysis of multidimensional random data. Materials and methods. Machine learning methods are used to classify multidimensional random data with different numerical dimensions and statistical distribution. The analytical platform “Deductor” is used as the software. The experimental data set contains 27 random parameters. The system analysis was carried out on a sample of 200 to 500 values of each parameter. Results. It is shown that the proposed approach to the system analysis of multidimensional information flows has a number of advantages over traditional correlation and factor analysis. It does not impose restrictions on statistical distributions, allows one to work with a limited data sample, and select the most significant parameters. Conclusions. The combined use of machine learning methods allows one to significantly reduce the training sample without losing the calculations accuracy. For technical applications, this makes it possible to receive and analyze information dynamically, in real time using standard microprocessor equipment. The results can be applied in the tasks of information exchange and cybersecurity of the electric power industry.

show abstract

A Digital Relay Protection System in Electrical Distribution Networks

Cited by 3 publications

References 0 publications

Specific Features of Operation of Distributed Generation Facilities Based on Gas Reciprocating Units in Internal Power Systems of Industrial Entities

Specific Features of Operation of Distributed Generation Facilities Based on Gas Reciprocating Units in Internal Power Systems of Industrial Entities

Relay Protection Stability of Intelligent Substation

Machine Learning Methods as an Alternative to Factorization of Multidimensional Data

Contact Info

Product

Resources

About