Simulation of criteria for selection of remote protection settings with remote starting in lines with distributed sources

Voloshyn, Semen; Omelchuk, A.; Tarasiuk, Oleh; Titova, Liudmyla; Gumenyuk, Yuriy

doi:10.1088/1757-899x/1030/1/012179

Cited by 5 publications

(6 citation statements)

References 22 publications

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“…[26] of Part 1, economic [3], [25] of Part 1, mathematical modelling [22], [25, 26], [30,31], [33], [17] of Part 1, functional modelling [21,22], [18] of Part 1, diagnostics and self-control [23,26], [22] of Part 1 and others. It can also be applied to tasks regarding meaning recognition in electrical engineering problems: automatic control of technological processes [3,4], [32,33], [17] of Part 1, electromagnetic compatibility [23,35], [19] of Part 1, studies of electrophysical processes [34,37], [30] of Part 1, electromechanical processes [32, 33], [34,35], [17] of Part 1, the stability of the systems [20,36], [27] of Part 1, the stability of the electric drive [22,33], [34,35] and the quality of the pulse circuits [35], [23] of Part 1, etc. It is also useful for the tasks of pattern recognition, based on morphological features: linguistic, cochlear, biological [20] of Part 1, medical [28] of Part 1,mechanical [35], optical [36], physicochemical [37], and etc.…”

Section: Extending the Results To Other Recognition Tasksmentioning

confidence: 99%

“…But, according to the simulation, the criterion is effective only in the case of a regular repetition of semantic events specified in the relay. However, with short-term irregular events, the criterion does not correspond to the problem being solved [10], [11,12], [13,14], [15,16], [17,18], [19,20].…”

Section: Analysis Of Literary Data Improvement Of the Analysis Of The...mentioning

confidence: 99%

“…At the same time, the available information in the input signals UIN(t) and partially recognised information in devices in cases of interruptions in the development of EFP, are not used (Fig. 1) [4,20], [21,22], [23,24], [25]. Modelling of the relay algorithms shows that a change in SN, SсеN allows the extraction of additional information and uses additional РADD rules in recognition algorithms [26,27], [28].…”

Section: Analysis Of Literary Data Improvement Of the Analysis Of The...mentioning

confidence: 99%

“…To implement the developed method of selective search SP of the amount of information Q when detecting SсеN scenarios, let us consider examples of the synthesis of elementary information sensors TS, in relation to the improvement of known detectors of selective relays [4,10], [11,13], [14,15], [16,17], [18,19], [20].…”

Section: Examples Of Synthesis Of Ts Sensors Of the Initial Hierarchi...mentioning

confidence: 99%

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Detecting development scenarios of dynamic events in electric power network smart-grids.Part two“Selective Protection”

Sivokobylenko¹,

Nikiforov

Zhuravlov³

2021

AAIT

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When implementing development concepts in the electric power industry (such as “Smart Grid”, “Digital substation” and “Outsourcing of services”), the task of ensuring stable relay protection operations and automation devices is urgent. The problem is solved according to the developed structural-information (SI) method. A method for selective search of the optimal amount of structured information for automatic decision-making is proposed. The article discusses an algorithm for recognising scenarios for the development of semantic events, which is included in the SP-method. The algorithm is applied uniformly for all hierarchical levels of recognition, based on the goals of decision making at the senior level. Control of the sequence of information events is performed in the dynamics of the passage of events along one path from all relationships according to the structural-information model. Part 1 shows a collaborative structural-information model consisting of a shaping tree in a dynamic object and a recognition tree in devices. A theoretical description of the algorithm is given using the amplitude and time (Ξ,Η) selectivity windows in the general structural scheme of S-detection. The application of the method for different hierarchical levels of recognition is shown. The decision-making results are presented in two forms, by means of a single semantic signal to indicate a group of results and filling in the table of the sequence of occurrence of the recognised elementary information components. Part 2 shows the application of the SPmethod at different hierarchical levels of recognition for the synthesis of a selective relay, which implements an algorithm for finding a damaged network section with single-phase ground faults in 6-35 kV distribution networks with a Petersen’s coil. The reasons for the unstable operation of algorithms of known selective relays are indicated, based on the concepts of scenario recognition. The improvement of the structure of a selective relay operating on the basis of the criterion for monitoring the coincidence of the first half-waves of the mid-frequency components in the signals of transient processes is considered. Examples of the synthesis of elementary detectors of absolute, relative and cumulative actions in relation to a selective relay are given, which make it possible to fill the amount of information for general S-detection. The simulation of the operation of the synthesised S-detector on the signals of real emergency files of the natural development of damage to the isolation of the network phase and simulation of artificial scenarios of events in the mathematical SI-model are carried out.

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Section: Extending the Results To Other Recognition Tasksmentioning

confidence: 99%

Section: Analysis Of Literary Data Improvement Of the Analysis Of The...mentioning

confidence: 99%

Section: Analysis Of Literary Data Improvement Of the Analysis Of The...mentioning

confidence: 99%

Section: Examples Of Synthesis Of Ts Sensors Of the Initial Hierarchi...mentioning

confidence: 99%

See 2 more Smart Citations

Detecting development scenarios of dynamic events in electric power network smart-grids.Part two“Selective Protection”

Sivokobylenko¹,

Nikiforov

Zhuravlov³

2021

AAIT

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show abstract

“…6). The task of the SCADa is to provide information on the essence of transient processes in the OCP, on the result of recognising the existing SceN, and SN in the OCP operation, forming recommendations for operating personnel, emergency files for analysing the accident, commands for localizing accidents, blocking personnel wrong actions, diagnosing malfunctions [33,34], [35,36] and monitoring the current the state of the OCP with and without the participation of operating personnel [37,38], [39,40]. It is implemented graphically on the SCADa screen in the form of a widget with filled active places on semantic messages prepared to help operational personnel.…”

Section: C) Application Of the Methods At The Final Hierarchical Level "Scada"mentioning

confidence: 99%

Detecting development scenarios of dynamic events in electric power networks smart-grid Part1 “Method”

Sivokobylenko¹,

Nikiforov²,

Zhuravlov³

2021

AAIT

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A method for constructing a semantic S-detector for the senior hierarchical level of pattern recognition in dynamic objects is proposed. The S-detection method is based on a uniform synthesis of all hierarchically subordinate detectors and information preparation schemes, based on the tasks of the upper hierarchical level of recognition of scenarios for the development of processes in an object. The method can be used to solve problems of relay protection, emergency control automation, to identify rare events in impulse, short-term input signals when implementing the concept of developing of electric power smart-grid. The synthesis of the Sdetector of scenarios for the development of transient processes was the result of the development of a structural-information SImethod for processing information components. A mathematical SI-model is presented that allows you to control the mutual correspondence of the structure of the formation tree in the object and the device recognition tree. The task is to improve the stability of the device recognition algorithm. The Part 1 describes the theoretical provisions of the application of the recognition method. It is proposed to unify the trees for generating recognition scenarios in the industry, similar to the IEEE high-voltage network diagrams. The S-detector algorithm based on the formation of a semantic signal and on the selective search for the required amount of information for automatic decision-making is presented. The facts of the appearance of elementary information events in the input signals of the detector are controlled by Ξ,H-selectivity windows, which are sequentially opened depending on the previous development of events. The block diagram of the S-detector of the scenario is presented, which can be synchronous, multichannel, with a high signal processing speed, without losing rapidly changing information when slow and infraslow information is detected. Combines useful properties of instantaneous and inertial detection algorithms. The output of the S-detector is a series of responses with different weights. This allows elementary detectors to be combined into sequential chains at different hierarchical levels of recognition. Part 2 provides an example of the application of the scenario detection method to solve the problem of increasing the stability of the operation of a selective protection relay against single-phase earth faults based on medium-frequency signals in 6-35 kV networks with an arc suppression Petersen’s coil. The results of modelling the operation of the S-detector algorithm on the signals of real emergency files recorded by high-frequency recorders of transient processes in the network are presented.

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Electricity Tariff Structures Modeling for Reengineering Ukrainian Energy Sector

Klymenko

Nehrey

2022

Lecture Notes on Data Engineering and Communications Technologies

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Simulation of criteria for selection of remote protection settings with remote starting in lines with distributed sources

Cited by 5 publications

References 22 publications

Detecting development scenarios of dynamic events in electric power network smart-grids.Part two“Selective Protection”

Detecting development scenarios of dynamic events in electric power network smart-grids.Part two“Selective Protection”

Detecting development scenarios of dynamic events in electric power networks smart-grid Part1 “Method”

Electricity Tariff Structures Modeling for Reengineering Ukrainian Energy Sector

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