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Recognition of Electrical Quantities in Measurements from Various Digital Relay Protection and Automation Devices
Intelligent systems for the control and support of operating services for electrical of electrical networks use a number of oscillograms of the same emergency processes obtained from different digital relay protection and automation devices. In this regard, one and the same electrical quantity turns out to be presented in different digital oscillograms which bear the imprint of the entire range of settings of the measurement paths for their devices. An unambiguous estimate of the components of an electrical quantity taking into account the features of its representation in the multiple digital oscillograms is achieved by their joint processing. This paper proposes methods for joint recognition of an electrical quantity based on a single model of its informational components which excludes the multiplicity of recognition problem solving and increases the recognition ability by invoking a set of readings of the digital signals in a superstructure of adaptive models with a distributed structure. Here the introduction of a residual signal filter into the general structural unit of the adaptive models and delegating to it the problems of accounting in its structure for the components which do not enter the unitary model of the informational components forms an effective environment for recognition of the informational series of the filter for the electrical quantity. To prevent an unjustified increase in the order of the filter for the residual signal, it is recommended that digital signals with different sampling frequencies be converted into signals with the same sampling frequency by thinning out (decimation) of the samples.
Recognition of Electrical Quantities in Measurements from Various Digital Relay Protection and Automation Devices
Intelligent systems for the control and support of operating services for electrical of electrical networks use a number of oscillograms of the same emergency processes obtained from different digital relay protection and automation devices. In this regard, one and the same electrical quantity turns out to be presented in different digital oscillograms which bear the imprint of the entire range of settings of the measurement paths for their devices. An unambiguous estimate of the components of an electrical quantity taking into account the features of its representation in the multiple digital oscillograms is achieved by their joint processing. This paper proposes methods for joint recognition of an electrical quantity based on a single model of its informational components which excludes the multiplicity of recognition problem solving and increases the recognition ability by invoking a set of readings of the digital signals in a superstructure of adaptive models with a distributed structure. Here the introduction of a residual signal filter into the general structural unit of the adaptive models and delegating to it the problems of accounting in its structure for the components which do not enter the unitary model of the informational components forms an effective environment for recognition of the informational series of the filter for the electrical quantity. To prevent an unjustified increase in the order of the filter for the residual signal, it is recommended that digital signals with different sampling frequencies be converted into signals with the same sampling frequency by thinning out (decimation) of the samples.
Recognition of Electrical Quantities in Measurements from Various Digital Relay Protection and Automation Devices
Power Technol Eng
Ubaseva, M. V. (Autor:in) / Vorobyov, E. S. (Autor:in) / Antonov, V. I. (Autor:in) / Soldatov, A. V. (Autor:in) / Naumov, V. A. (Autor:in)
Power Technology and Engineering ; 58 ; 718-724
01.11.2024
7 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
joint digital signal processing , adaptive structural analysis , adaptive models with distributed structure , canonical component filter , composite filter , residual signal filter , general residual signal filter Energy , Energy Systems , Power Electronics, Electrical Machines and Networks , Renewable and Green Energy , Geoengineering, Foundations, Hydraulics
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