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Anuszczyk J.,Instytucie Elektroenergetyki Politechniki Odzkiej na Stanowisku Protesora Nadzwyczajnego | Pawelek R.,Instytucie Elektroenergetyki | Terlecki B.,Elektrowni Wiatrowej Kamiensk Sp. Z O.o. na Stanowisku Prezesa Zarzadu | Wasiak I.,Instytucie Elektroenergetyki
Rynek Energii | Year: 2011

The paper presents the possibilities of controlling electric energy production in a wind power plant, on the example of Kamieñsk wind power plant of 30 MW installed power, connected to 100 kV network. Based on the experience of 3-year period of the power plant exploitation, the series of difficulties is presented, which limits possibilities for the management of energy production and sales. Systems are presented, that are used to monitor the wind power plant operation as well as to measure the amount of produced "green" energy and energy sold to the Distribution System Operator (OSD). The influence of various technical factors on indexes describing the technical availability and productivity of individual wind turbines is discussed. Necessary conditions are specified for creating the possibilities of energy management.


The article raises the problem of forecasting the electricity prices in energy market, with consideration changes, inter alia, Day-Ahead Market (DAM). Proposed forecasting model, based on the canonical distribution of a random vector variables, to predict prices in the daily horizon. The model was verified on the several selected price forecasts for the Polish Power Exchange.


A lot of computer systems have programs of data analysis nowadays. The programs enable a statistical analysis of research results in the easy way. The problem concerns of power engineering research, especially when results from research experiment are large data files with chronological series. The paper presents results of thermoluminescence (TL) measurements of ceramic insulators of medium voltage. Measurement samples are taken from insulators working many years in the power system, the eldest from 1960 and the youngest from 2012. Thermoluminescence is measured for natural samples as well as beta-irradiated samples. In both cases the thermoluminescence characteristics, related to the defect structure of the ceramics, are obtained. The data analysis is work out using statistical functions of the available software. The results of the statistical analysis are presented.

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