Liura O. Methods and special processors for detecting load surges and short circuits in high-voltage electrical networks

The dissertation is devoted to the development of methods and special processors for the recognition of charges and short circuits in high voltage electric networks and to increase the efficiency of their relay protection. The research of characteristics of perturbation identification in high voltage electric networks is carried out. The functions and information characteristics of existing computerized monitoring systems of the regime parameters and equipment state of high-voltage electrical substations are investigated. For the first time, bipolar and unipolar models of overturning and short-circuit in the form of lattice functions of digital counts of phase currents have been developed. It is shown that the unipolar modular discrete model of the projection can increase the speed of identification of the type of perturbation in the interval of one period of industrial frequency in 2 times. The method of randomized processing of harmonic signals was improved by the use of an expanded M-sequence, which allowed to increase the threshold value of the central lobe autocorrelation function in 2 times and to improve the informativeness of the diagnostics of perturbations in high-voltage power grids. An improved structure of the base-digit shift register of the component of the digital correlator through the application of inter-baseline transformations of the unitary code and the code of the basis of Rademacher, which allowed to reduce its hardware complexity by 15 times without loss of speed, and the structure of the integrating quadrant of the relay protection device is improved. The developed microelectronic components of the relay protection devices are implemented on the FPGA, which, in comparison with the known ones, allowed to reduce the hardware complexity by 18 times and, with the use of a k-bit ADC for phase currents, increase the speed.