In the article the method of optimised design of the passive LC type compensator for uniform line is described. The load at the end of the line can be linear, or non-linear, e.g. a semi-conductor converter. In the first case the currents and voltage in the line are harmonic, in the second case harmonic high orders are introduced into the line. These harmonics of higher orders increase power losses in the line. The article shows that a long line can be significant for simulating and designing a compensator.

This paper is devoted to manipulating the state in process functional language (PFL) using monadic approach [13,19], preserving at the same time the visibility of memory cells. Instead of exploiting just pure functional expressions, as it is done in Haskell, balanced binding of functional and state aspects of computation in PFL using monads is presented. Monadic approach in PFL is partial in the sense that it may be exploited at any hierarchical level of computation, concentrating to the points in which state manipulation and pure functional evaluation are switched. From this point of view, this paper contributes to a systematic joining of function and state aspects of computation.

This paper deals with the analysis and operability assessment of the power system during non﷓standard operation regimes. Increasing demands on high quality of power delivery and high reliability of the power system put growing pressure on power utilities that have to cope with these matters. The questions of reliability are important in the field of both power generation and power transfer. In order to meet sometimes very tough conditions on operation readiness of the power system, it is necessary to analyze the situation thoroughly. Several methods using different approaches for power system analysis have been worked out. Each of them has its advantages and drawbacks that determine their use in reliability assessment under real operating conditions. Some of these methods are relatively simple but have only limited use due to their lower accuracy. Anyway, they are still usable for some kinds of calculation. On the other hand, much more complex methods are needed in order to achieve higher accuracy of results. But calculations using these methods are usually much longer and more demanding, requiring iterations. Three different methods for analysis of power transfer networks are described in the following text, including evaluation of their limitations.

In the report, the software package designed by the team of the Technical University of Częstochowa has been presented. The software is commonly used in distribution companies for calculation of efficiency of energy distribution in the networks. Calculations are conducted for current and forecasted periods of the network functioning. The report depicts the impact of energy saving transformers on the level of losses in distribution networks.

This paper deals with the advanced method for identification a rotor resistor of an induction motor, presents a new method to on-line identification on a base of artificial neural networks (ANNs). ANNs are recently showing good promise for application in power electronics and motion control system. They have been applied mainly in control of converters and drives. The purpose of this paper is to show that such a technology can be applied for identification of parameters in an area of electrical drives.
A feedforward ANN is designed to a rotor resistor identification of an induction. motor drive. The structure of the neural network is analogues to the mathematical model of an induction motor. The identification is based on on-line learning principle using backpropagation algorithm. Stator currents and stator voltages and speed of the induction motor are inputs of the neural network. The basic idea of this approach is to describe how a feedforward neural network can in real time estimate rotor resistor of an induction motor without previous training. The simulation using Matlab with Simulink realises the application results. The results of simulated experiments indicate that a neural network can be an alternative way to other identification methods.

The paper deals with properties of RuO2 based thick-film resistors prepared by a modified (different to standard) manufacturing technology. It was shown that the received temperature dependence of the resistance R(T) of these resistors can be strongly influenced by the manufacturing baking profile. Both the increase of baking temperature and baking time shift the resistance of RuO2 resistors to lower values. Moreover, under these conditions the R(T) dependence of resistors changes and its typical resistance increase towards low temperatures is less expressive. The modification of manufacturing technology thus enables to adapt and “tune” the resistance and the temperature dependence of RuO2 based resistors, and prepare them as low temperature sensors with appropriate or desired properties.

This paper deals with quality and reliability of bent multilayer modules for electronics based on LTCC (Low Temperature Cofired Ceramic). It refers to the method of the bent multilayer ceramic modules preparation with built-in thick film conductors for electronics with number of layers 7, 9, and 11 and with bent angle 0°, 20° and 40°. It is oriented on measurement of basic electrical parameters of thick film conductors in bent multilayer ceramic modules, which contain resistivity (R), conductivity (G), capacitance (C) and inductance (L). The experiments have been concentrated on the effects of reliability tests and on the measurements of electrical properties of bent multilayer modules. The achieved results of accelerated aging stress confirm the influence of temperature as an important factor to the technical life and reliability of electronic systems in working conditions. These tests show the expressive influence of temperature, which limits operation life and reliability of systems applied in electronics. Along with these analyses of characteristics is demonstrated the impact of frequency on the stability of electrical properties. The higher frequency more increases the stability of properties of bent modules.