IJIGSP Vol. 14, No. 4, 8 Aug. 2022
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Electrical Network, Steady State, Disorder, Algorithm, Diagnostics.
Method of symmetric component is used in analysis of disturbances (short circuits and disturbances) and can be verified by computer simulation and measurement. It is based on possibility of making calculations simple by separating a three-phase asymmetric system into three symmetric systems and three single-phase schemes. It is very important for three-phase electrical networks with linear parameters and the same frequency in the network. The transition of quantities (ems, voltages and currents ) from the asymmetric domain of a three-phase system to the symmetric domain is performed using transformation matrices. Expressions determined in the system of symmetric components are then superimposed on expressions corresponding to conditions of asymmetric system, and superposition is correct if electric quantities are of simple-periodic functions.
The paper presents a new method based on analysis using symmetric component methods and diagnostic algorithms for the assessment of the most common disturbances in power grids. The adapted part of the MATLAB package psb.abc,part.mdl was used for method verification, and the obtained results in the form of diagrams and values of diagnostic functions arranged in the form of tables confirm the applicability of the proposed new diagnostic algorithm for analysis and assessment of steady states and disturbances in electrical networks. The proposed diagnostic algorithm enables the realization of the maximum number of diagnostic functions on the basis of which a scheme for diagnosing disorders with classical diode elements or a more modern scheme with microprocessor components can be realized.
Nenad A. Marković, Slobodan N. Bjelić, Filip N. Marković, "Diagnostics Algorithms for Analysis and Assessment of Steady States and Disorders in Electrical Networks", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.14, No.4, pp. 1-12, 2022. DOI:10.5815/ijigsp.2022.04.01
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