| Abstract [eng] |
Electric power generated by wind power stations is unstable and difficult to use;both by connecting to the network or to the devices working in the micro network. In order to reduce power fluctuations in the electrical system, the power fluctuations generated by the wind power station can be balanced by using a supercapacitor energy storage system. In this study, the model of power balancing of wind power station consists of a wind turbine, the alternative current load and wind power balancing system. In order to clearly identify operating principles of this model, we consider that the load is stable and unchanging, and the voltage is constant. Thewind power balancing system operating principle is based on the first Kirchofo rule and consists of the system of supercapacitors and an AC/DC three-phase controlled rectifier. An AC/DC three-phase controlled rectifier has six insulated gate bipolar transistors, which are controlled by pulse width modulated signal. This signal is generated by comparing the data values of wind power generated current and reference current. The Energy storage system consists of a series of supercapacitors connected in series and parallel. The Theoretical model of wind power capacity balancing is based on computerized mathematical modeling software „Matlab“. The simulationscarried out showed that the energy storage system that consists of supercapacitors can balance unstable wind power capacity. However, the outcomes of the wind power balancing system are affected by the current measurement data sampling time duration. Increasing themeasurement sample time duration results in the decrease of the data curve ripple of output result, but it also reduces the amount of balanced energy in comparison to the data deduction values. The Wind power balancing system investment costs account for only sixteen percent of the wind power station installation price. The further development of this system to ensure stable electricity supply to consumers, or compensate for the short-term wind forecasting inaccuracies, who would maintain the power grid more stable and reduce the cost of stabilization. |
