Autors: Kolev, V. G., Sulakov, S.
Title: Forecasting the hourly power output of wind farms for day-ahead and intraday markets
Keywords: Forecasting modeling, Large-scale wind farms, Market partici

Abstract: The penetration of large-scale wind farms causes a number of challenges. The market participants have to deal the wind power output for different market time horizon in order to minimize the deviations of their trading schedules. In order to control the balance between production and consumption, transmission system operators need information in advance, concerning wind generation, to prepare necessary types of reserves and to activate them in real time. The wind power forecasting is frequently identified as an important tool to address the variability and uncertainty of the wind power and to more efficiently operate the power systems with large wind power penetrations. In this report is presented the experience of the implementation of a forecasting model suitable for day-ahead and intraday markets.

References

    Issue

    10th Electrical Engineering Faculty Conference, BulEF 2018. Santa Marina Holiday Village, Sozopol; Bulgaria; 11 September 2018 through 14 September 2018, vol. BulEF 2018, issue 10, pp. Article number 8646953, 2019, Bulgaria, IEEE Inc, DOI 10.1109/BULEF.2018.8646953

    Copyright IEEE

    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus