The development of a three-phase electronic power converter is presented, the converter uses IGBTs as electronic power devices, it can act bi-functionally as a threephase full-wave rectifier or as a three-phase three-arm inverter, using the same three-phase power bridge For the conversion, the control design is carried out using the FCS-MPC technique (Finite Commutations Set-Model Predictive Control). The quality of the electrical energy conversion is evaluated, evaluating the average and effective parameters of the voltages and currents, with various types of loads. As well as distortion with the THD coefficient, frequency and phase. The converter seeks to be very flexible and somewhat universal for the conversion of AC-DC and DC-AC energy, for diverse applications in the field of distributed power generation systems, particularly with the presence of renewable energy sources. Modeling and testing have been done with MATLAB, SIMULINK. The loads have also been modeled for typical applications with real characteristics, so in the case of rectifier the test load has been considered a lithium ion battery, then with a 5HP, 240 v and 1750 rpm DC motor, to later test with a general load of RL characteristics. For the inverter, it is tested with a balanced three-phase RL load and then with a three-phase squirrel cage-type asynchronous motor. The results are presented by means of graphs and tables for a better understanding of said results obtained in the simulations. The functionality and operation of the developed converter is explained by means of block diagrams that incorporate the units that make up the converter including the control units, the command unit, the operation selection switch unit, as well as the power unit. The results obtained show good functional characteristics of the converter in its two modes of operation, reflected in the parameters measured in the simulation tests.
The Cobriza underground mine, for the development of its operations, has an electric power distribution system, in which transformers submerged in 69 kV and 10 kV oil play a vital role in the reliability of the service; even more considering that a large part of them have been working for more than 38 years, it is necessary to know the status of their condition, to attend to their extensions, to optimize their life cycle and to make medium and long-term decisions to prioritize investment needs. a maintenance, relocation or replacement. For this purpose, we will use the concept called: Health Index, which consists of the combination of the relevant data obtained from the analysis of samples of the transformer insulation system and with the support of fuzzy logic using the software tool tool. Matlab, we will find a numerical value, which reflects the current health status of the transformer. The basic concepts of the fuzzy logic associated with the Health Index, the revision of the regulations in force, as well as the method of calculation are explained in a summarized form. For the application of the proposed method, we have considered real data from ten transformers that are currently working in the Cobriza mine, whose results are consistent with other similar works in this regard; In addition, an interface is designed to facilitate the application of the proposed method.
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