Karel Stibor

Energy Sources for an Experimental Electrical Network: PV Panel and Micro-Hydroelectric Power Plants

Abstract The authors present energy sources for an Experimental Electrical Network (E.E.N). The main sources applied are photovoltaic and hydroelectric power plants. For the purposes of modelling the experimental network, the authors describe the measured values of the output power provided by the plants. The performance of the photovoltaic station was measured for the period of three weeks; as expected, the resulting value is strongly dependent on the weather. In the small hydroelectric station, we monitored the relation between the turbine output power and the water level in the weir. Moreover, we also produced a six-hour record of the performance of the station. Based on this characteristic, the relation between the water level and the output power was determined using approximation of the exponential function. The paper also describes the perspectives of remote sensing of the data acquired from a power plant and analyzes the possibilities of storing the data to an SQL server.

Stabilisation of low voltage distribution networks with renewable energy sources

Abstract Recent development in the area of renewable energy sources (RES) shows, that situation in countries supporting a great growth of RES, particularly photovoltaic, leads to big problems. Modelling studies show that in a very near future there will be a big surplus of electrical energy production in networks of NN (low voltage networks). It would evoke necessity to transfer energy into higher voltage networks. However it will not be possible while protection systems of high voltage networks are developed for the opposite flow of energy. Contribution deals with possible solution of stability of NN distribution networks by means of smart metering – smart grid system. Proposal of electronic instrumentation of measurement and control is presented in the contribution.

Reliability Analysis of Systems with a Complex Structure Using Monte Carlo Approach

Abstract Nowadays the systems have often a complex structure and it is relatively difficult to ensure their reliability. Therefore it is important to predict reliability of systems already at design phase. This way is suitable for the prevention of the frequently failures. Prevention of frequently failures means a higher lifetime and cost savings for producer. This paper deals with a modern approach of quantitative reliability analysis – using the Monte Carlo statistical reliability analysis and its comparison with the conventional approaches. The Monte Carlo method is explained at a fundamental level with emphasis on its application in reliability analysis of systems with a complex structure.

The device and data integration description through ontology

Abstract The paper shows the description of ontology which solves several issues. The first section of the paper shows general theory about ontology. We mention the definition of ontology and its use in automation technique. The OWL DL language which is mentioned in the first section is described here for our following work. The second part of the text shows the solution of two issues. The first one is the solution of the industrial automation device description. The article shows possible ways to the creation of the device description through the using of ontology. The second issue is a work with a lot of data which are used by modern devices. The paper shows a part of ontology which is used for data integration.

Localization techniques and nanoLOC TRX system

Abstract The aim of this paper is the test of wireless localization modules nanoLOC TRX. These modules shall be embedded into complex electronic system placed on fireman helmet. Through static anchors placed in the environment and possibly with cooperation with other similar systems, information about the fireman location is transferred to the base station. The theoretical part of this paper shows several localization methods and techniques in the following, nanoLOC TRX hardware and configuration is briefly described. The performance and reliability of modules is measured in the real environment. The paper shows test results and evaluation.

A Driver as the Regulator in Man-Machine System

Abstract The aim of the paper is to present the role of the human element in regularly used man-machine systems (MMS). From the technical point of view, it is possible to denote the human being and the machine as two components of one system. The decision priority problem within the MMS has recently been accentuated, especially in relation to high-risk systems, where any failure of the human factor may have serious consequences.