Determination of Insulation Parameters of Current Transformers at Multiple Measurements in Monitoring Systems Under Working Voltage

Beliaev, V. K.; Panenko, H. N.

doi:10.20998/2074-272x.2016.5.06

Cited by 3 publications

(4 citation statements)

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“…When applying the expert-statistical model for determining the probability of a cell failure, the error was ∆ f(D-02) =1-Q apost =0.034, or 3.4 %. The advantage of the developed model over those proposed in [1][2][3][4][5][6][10][11][12][13][14][15] is predetermined by taking into consideration the influence of a TC of each piece of equipment of the cell on a failure probability, and by the integrated assessment of controlled diagnostic parameters that influence the TC. This leads to the higher accuracy of the forecast, in compar-ison with existing methods of current control over the TC of electrical equipment.…”

Section: Discussion Of Results Of Estimating the Failure Probability mentioning

confidence: 99%

“…The reason for this is that the authors paid attention to only one parameter of insulation condition -dielectric losses. Papers [3,4] partly resolved the issue of the comprehensive assessment but failed to take into consideration the device temperature parameters. In addition, a neural-network model created in [3] requires a reliable sample of a large number of investigated equipment.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

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Estimating the failure probability of an instrument transformer cell in the high voltage distributing device using an expert-statistical method

Domoroshchyn

Sakhno

2020

EEJET

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The approach has been developed to determining the numerical value of a failure probability and to forecasting the resource of an instrument transformer cell at the time of observation. Underlying a given approach is the control over the main parameters that affect the technical condition (TC) of an instrument transformer cell in the distributing device of high voltage (DDHV). To determine a TC of the devices, a mathematical method of fuzzy modeling has been applied, which makes it possible to integrate the diagnostic parameters that are different in their nature. Building a fuzzy model involved the experience of experts in the relevant industry. The relevance of the development of a given approach is predetermined by the functional importance of a current transformer. Its performance affects the accuracy of triggering the relay protection devices, as well as the accounting of electrical energy. Precise accounting of electric energy implies minimizing its losses and shows the path to energy savings. A special feature of this approach is that it takes into consideration the influence of TC of each piece of cell equipment on the probability of its failure in general. To account for the factors of random disturbances, an expert fuzzy model is refined by the probabilistic-statistical method. An example of the DDHV instrument transformer cell in an electric-energy system has been used to substantiate the advantage of a given approach over the existing methods to control the technical condition of electrical equipment. The error in predicting the cell resource based on one parameter (thermal imaging examination) was ∆ f(D-02) =1-Q D-02 =0.364, or 36.4 %. When applying an expert-statistical model for determining the probability of a cell failure, the error was ∆f (D-02) =1-Q apost =0.034, or 3.4 %. The application of a given approach has produced a more reliable estimate of the probability of cell failure. Implementing the developed approach in the field of electrical equipment diagnosing could improve the reliability level of forecasting results. The constructed model could be applied in the automated systems that diagnose "on-line" the DDHV electric devices

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Section: Discussion Of Results Of Estimating the Failure Probability mentioning

confidence: 99%

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Estimating the failure probability of an instrument transformer cell in the high voltage distributing device using an expert-statistical method

Domoroshchyn

Sakhno

2020

EEJET

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“…Examples are considered for OCP, individual equipment, transient recognition algorithms and automatic control systems, which can be reduced to dynamic ones. 4. A method of restructuring the general task of describing the OCP into elementary information components is shown.…”

Section: Discussionmentioning

confidence: 99%

“…Within the framework of the smart grid concept, all the necessary algorithms for relay protection and automation (RPA) devices are in the foreground, and the equipment that controls the operation of the OCP (Figure 1) is at the second level. It implies the possibility of describing the properties of OCP electrical circuits through control algorithms [1][2][3][4][5][6][7][8][9]. Such a structural-informational (SI) method is developed by the author further [8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Automatic Control of the Structure of Dynamic Objects in High-Voltage Power Smart-Grid

Никифоров¹

2021

Automation and Control

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The control and protection algorithms for the considered class of dynamic facilities with a tunable structure are considered. Their relevance follows from the concepts of the development of the electric power industry-smart grid, digital substation and outsourcing services. The properties of this class of dynamic objects are spatial distribution, many options for changing the structure and motion in vibrational circuits at natural frequencies from ultra-high to ultra-low. The input coordinate of the dynamic objects is the vector of the change in the structure of the object. The output coordinate is the power of a special semantic signal about the state of the facilities. Their management is carried out as part of the stabilisation system of the normal operation of the facility. Stabilisation is achieved by the criterion of the minimum deviation of the power of the semantic signal from the 'normal mode' setting of operation. Executive bodies rebuild the structure of the dynamic facility in a pulsed, programmatic way, using the possibilities of self-healing and resource reservation. If stabilisation is not possible, the damaged area is excluded from the facility. The problem of the stability of the system turned out to be the lack of sufficient information about the state of the object and the similarity of the structure and significance of unrecognisable semantic situations to the main situations. Control algorithms are synthesised by the developed structural-informational (SI) method of dynamic pattern recognition.

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Solving the Problem of Balancing Algorithms for Relay Protection and Automation Using Game Theory

Nikiforov

2019

2019 IEEE 6th International Conference on Energy Smart Systems (ESS)

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Determination of Insulation Parameters of Current Transformers at Multiple Measurements in Monitoring Systems Under Working Voltage

Cited by 3 publications

References 0 publications

Estimating the failure probability of an instrument transformer cell in the high voltage distributing device using an expert-statistical method

Estimating the failure probability of an instrument transformer cell in the high voltage distributing device using an expert-statistical method

Automatic Control of the Structure of Dynamic Objects in High-Voltage Power Smart-Grid

Solving the Problem of Balancing Algorithms for Relay Protection and Automation Using Game Theory

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