Kuchansky V. Abnormal overvoltages in networks with disturbances

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0415U003101

Applicant for

Specialization

  • 05.14.02 - Електричні станції, мережі і системи

07-04-2015

Specialized Academic Board

Д 26.187.03

Institute of Electrodynemics, NAS of Ukraine

Essay

The object of research: abnormal and non-sinusoidal abnormal modes of the main electric networks. The purpose of research: the aim of the thesis is to improve the methods of simulation and mathematical models, the development of an artificial neural network analysis of disturbances in the main electric networks for the prevention and control of dangerous surges. Methods of research: the solution of the problems in the thesis is based on the laws of electrical engineering, the theory of linear and non-linear electric circuits, methods of mathematical modeling and artificial intelligence. Upon receipt of a disturbance equations used classical methods of analysis of multi-phase electrical circuits; the formation of mathematical models - analytical methods for the study of the resonant circles abnormal conditions; the development of the evaluation system Surge - elements of the theory of artificial neural networks. The accuracy of the theoretical positions as confirmed by simulations and real test circuits and comparing the analysis results with those obtained using the emergency recording system operating in REGINA main electric networks. Degree of introduction: improved methods and mathematical models for the study of the abnormal overvoltage, which, unlike traditional for taking account of the transverse and longitudinal asymmetry of extra high overvoltage transmission lines and switching condition groups autotransformers for electrical substations, increases the value and validity of the modeling process recommended actions to prevent the occurrence of abnormal overvoltage; developed a new mathematical model of non-sinusoidal modes of power lines extra high overvoltage, the use of which in the artificial neural network provides efficient processing of large volumes of information in the main electric networks of the real volume; improved mathematical model for the study of power in the abnormal overvoltage dead time of single-phase auto-reclosing , which combines analytical and simulation approaches that, in contrast to the simplified analytical methods, allows to obtain a qualitatively new research results and is guaranteed to find all the possible areas of existence mode settings the main electric networks in which there is a dangerous abnormal increase in voltage; for the first time, an analytical relationship between the length actually transposed transmission lines and values of the parameters of the equivalent circuit elements of it that allows a rapid assessment of the availability of the necessary conditions for the onset of abnormal overvoltage in the solution design and operational problems in the main electric networks. Effectiveness of implantantation: Sphere of use: main electrical networks.

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