Development of the logical part of the intellectual multi-parameter relay protection

Loskutov, Anton; Pelevin, Pavel; Mitrovoc, Mile

doi:10.1051/e3sconf/201913901060

Cited by 5 publications

(4 citation statements)

References 4 publications

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“…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

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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.

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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

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“…Moreover, this applies both to the operation of existing power systems, and promising ones, in which modern active elements can be installed (flexible power transmission lines, controlled shunt reactors, energy storage devices, etc.). Special attention is paid to mathematical modeling (simulation) of normal and emergency operating modes in the design, construction and reconstruction of electrical networks, as well as in the verification of engineering calculations and the choice of operation parameters for relay protection and automation devices (RPA) [2][3][4][5]. In addition, there is great interest in Big Data analysis technologies and artificial intelligence to improve the technical sophistication of electrical energy metering devices [6], automation and protection of electrical networks [7,8].…”

Section: Introductionmentioning

confidence: 99%

“…As a rule, these protections simultaneously control a large number of features (for example, currents, voltages, resistances, power, etc.) that are multi-parameter [2,4,5].…”

Section: Introductionmentioning

confidence: 99%

“…Previously, the authors conducted research on the use of machine learning methods to improve the functioning of relay protection and automation [3][4][5]15,16]. For example, the article [16] presents a classification of machine learning methods and examples of the application of some machine learning methods: k-nearest neighbor method; logistic regression method; support vector machine.…”

Section: Introductionmentioning

confidence: 99%

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Decision Tree Models and Machine Learning Algorithms in the Fault Recognition on Power Lines with Branches

et al. 2023

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The complication of the structure, topology and composition of the future electrical networks is characterized by difficult-to-recognize circuit-mode situations and requires modern methods for analyzing information parameters. The growing trend of digitizing signals in substations and the use of the IEC 61850 standard results in a huge amount of new data available at the nodes of the electrical network. The development and analysis of new methods for detecting and recognizing the modes of electrical networks (normal and emergency) are topical research issues. The article explores a new approach to recognizing a faulted section of an electrical network with branches by concurrently analyzing several information features and applying machine learning methods: decision tree, random forest, and gradient boosting. The application of this approach for decision-making by relay protection has not been previously implemented. Simulation modeling and the Monte Carlo method are at the heart of obtaining training samples. The results of testing the studied methods under review showed the required flexibility, the ability to use a large number of information parameters, as well as the best results of fault recognition in comparison with the distance protection relay.

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Application of the Wald Sequential Procedure in Automatic Network Control with Distributed Generation

Ilyushin¹,

Kulikov

Loskutov

2020

Advances in Intelligent Systems and Computing

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Development of the logical part of the intellectual multi-parameter relay protection

Cited by 5 publications

References 4 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

Decision Tree Models and Machine Learning Algorithms in the Fault Recognition on Power Lines with Branches

Application of the Wald Sequential Procedure in Automatic Network Control with Distributed Generation

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