Abstract. The popularity of wind energy is increasing and that arises several technical problems like system stability and wind power reliability. Power companies have learned how to predict power consumption and therefore know how to plan power generation. Adding notable amount of wind power into the system requires a new approach to system stability. The idea of wind power is to reduce the domination of fossil fuel and to decrease emissions. This issue is very important in Estonia, where mainly thermal power plants are used for power production. In this paper cooperation between wind turbines and a conventional power plant is analysed. As the result of this analysis, the supplementary emission caused by using conventional power plants for balancing wind turbines is calculated.
Characteristics of wind power are different and therefore its integration leads to some important challenges concerning the electricity system. Due to weather dependence, the availability of the energy generated from wind power differs fundamentally from that generated conventionally from fossil fuels. In an electricity system with an important share of wind power, new methods for balancing supply and demand are needed. Wind power forecasting plays a key role in tackling this challenge. Good wind power predictions increase the value of the wind power making it more competitive.
During the negotiations with EU, Estonia was set an indicative target to increase the share of renewable energy sources in the electricity production to 5.1% of inland consumption by the year 2010. Similarly to the rest of Europe, one of the main means to achieve this target is to install wind turbines. The current paper analyses the capability of existing oil-shale power plants to cover differences between forecasted and actual generation of wind energy and shows that participation of fossil fuel-based power plants
A method and the main results of the study carried out for the evaluation of optimization efficiency in power systems are presented in the paper. Two classic optimization problems were studied: 1) economic dispatch problems of thermal power units, 2) unit commitment problems. In both tasks the total fuel costs and the environmental impacts were minimized. The study showed that the maximal efficiency of optimization in thermal power plants and in power systems may reach 30% and even more.
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