Transformer Substation Equipment Research Articles

The intelligent system for assessing the technical condition a transformer substation of 35/6(10) Kv

THE PURPOSE. The purpose of this work is to create an intelligent system for assessing the technical condition of a 35/6 (10) kV transformer substation, which will monitor the state of parameters in real time and evaluate the technical condition of the transformer substation equipment.METHODS. The method of online assessment of the technical condition of a transformer substation is based on the determination of an integral indicator of the technical condition of the equipment, and the method of paired comparisons is also used. When making decisions in system analysis, the decomposition method is used.RESULTS. The structure of the intellectual system is considered. The software part of this system has been created, which calculates the coefficients of express analysis of transformer substation equipment in real time.CONCLUSION. The developed intelligent system allows for remote monitoring, reducing the likelihood of emergencies, monitoring the condition of existing equipment, predicting changes in the technical condition and proceeding to the organization of maintenance and repair of the main power equipment according to the actual condition.

КОНТРОЛЬ КАЧЕСТВА ЭЛЕКТРИЧЕСКОЙ ЭНЕРГИИ НА ПОДСТАНЦИЯХ МОРСКОГО ПОРТА

The need to solve the problem of power quality assessment in distribution networks, to identify the harmonic structure and to develop the methods of voltage harmonic compensation was justified. Quality control of electric power at substations of commercial port was made in the process of port cranes’ work at the coal loading. The points of connection were racks of typical substations supplying the equipment of cranes. The tests of electrical networks, converters, rack equipment of transformer substations with 0.4 kV feeding port cranes of "Sokol-54" and "Aist-21" types, with relay converters and frequency control converters of the powerful electric drive are of particular interest. During the tests, evaluation of the quality of electric energy in the limited time intervals was carried out, as well as short-term (instantaneous) electric network parameters were recorded. It was found that the work of high-power converters has a direct impact on the quality of electric power of typical substation. On the basis of obtained data a number of recommendations to improve the quality of electricity in the distribution network of port cranes were proposed. In order to evaluate the quality of electric power in the distribution network of the fleet infrastructure facilities the use of modern devices that can detect the cause and location of devices that violate the quality of electromagnetic compatibility is provided.

Noise Source Identification Applied in Electric Power Industry Using Microphone Arrays

The noise source identification is an important issue in noise reduction and condition monitoring(CM) for machines in- site using microphone arrays. In this paper, we propose a new approach to optimize array configuration based on particles swarm optimization algorithm in order to improve noise source identification and condition monitoring performance. Two distinct optimized array configurations are designed under the certain conditions. Furthermore, an acoustic imaging equipment is developed to carry out experiments on transformer substation equipment and wind turbine generator, which demonstrate that the acoustic imaging system allows a high resolution in identifying main noise sources for noise reduction and abnormal noise sources for condition monitoring.